{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "-"
    }
   },
   "source": [
    "# Introduction"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Motivation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This work assumes that a linear model, built using regression of some kind, is appropriate to map wiki hits to disease incidence. We have three reasons to make this assumption:\n",
    "\n",
    "1. Prior work using such a model gets decent results.\n",
    "2. There is lots of expertise readily available on linear regression.\n",
    "3. Python has mature, off-the-shelf tools to do such regression that fit our pipeline (we use scikit-learn).\n",
    "\n",
    "Relaxation of this assumption is out of scope for the time being. In particular, non-linear models may be better; that's future work.\n",
    "\n",
    "Our goals are:\n",
    "\n",
    "1. Make good forecasts.\n",
    "2. Pick articles that are contextually relevant, i.e., avoid Google's high school basketball problem without manual intervention.\n",
    "\n",
    "Linear models are good at the first, and our hope is that they can do the second well enough for this work to make a useful contribution, with future work swapping in something more principled.\n",
    "\n",
    "After making this assumption, several questions remain. The purpose of this notebook is to prototype these choices. This is not an exhaustive study; we use US influenza with 2 years of training as a test case."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Questions"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this section, we outline the questions we need to ask as well the reasoning for what a principled choice might be. Below, we compare these principled choices with results on prototype data."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Q1. Which regression algorithm?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We consider:\n",
    "\n",
    "1. Ordinary least squares — minimize model fit error only.\n",
    "2. Ridge regression — minimize fit error as well as coefficient magnitude, with the weight of the latter tunable with parameter 𝛼.\n",
    "3. Lasso regression — minimize fit error as well as the number of non-zero coefficients, the latter again tunable with 𝛼.\n",
    "4. Elastic net — minimize all three of fit error, coefficient magnitude, and non-zero coefficient count. The total weight of both regularization terms is tuned with 𝛼, and their relative weight is tuned with 𝜌 ∈ [0,1].\n",
    "\n",
    "We want the ridge penalty because we have lots of correlated input groups, and we want the coefficients of each article in a group to be roughly equal.\n",
    "\n",
    "We want the lasso penalty in order to produce simpler models and because we want a way to exclude bogus articles from the model.\n",
    "\n",
    "Principled choice: **elastic net** seems the most appropriate, since both the ridge and lasso penalties are desirable, and it incorporates both."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Q2. Normalize article time series?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Article hit rates vary by several orders of magnitude. Normalization scales the time series to be more similar. scikit-learn uses the L2 norm, transforming vectors into the unit vector.\n",
    "\n",
    "Principled choice: **Normalize** because it reduces model risk due to these varying hit rates."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Q3. Restrict coefficients to be positive?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Some algorithms let you require coefficients to be positive (really, non-negative).\n",
    "\n",
    "Principled choice: **Positive**. It's hard to think of relevant articles that are negatively correlated with a disease, and it's easy to think of spurious ones, for example, for flu, anything that goes up in the summer."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Q4. Select 𝛼 manually or automatically?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Principled choice: **Automatically**, because more knobs are a hassle.\n",
    "\n",
    "𝛼 in particular seems hard to choose manually, since it's continuous and has an infinite range."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Q5. Select 𝜌 manually or automatically?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Principled choice: **Automatically**, because more knobs are a hassle.\n",
    "\n",
    "However, 𝜌 is easier to choose manually since its range is limited and there are some obvious values to try (e.g., ½)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Conclusions"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Summary table\n",
    "\n",
    "| Algorithm | Normalized | Positive | Auto—𝛼 | Auto-𝜌 || Predictions | Articles | Principled | More? |\n",
    "|-----------|:----------:|:--------:|:------:|:------:||:--------:|:--------:|:----------:|:-:|\n",
    "|           |            |          |        |        ||          |          |            |\n",
    "| OLS       | norm       | —        | —      | —      || bad      | bad?     | 1/2        |\n",
    "|           | non-norm   | —        | —      | —      || bad      | unknown  | 0/2        |\n",
    "|           |            |          |        |        ||          |          |            |\n",
    "| Ridge     | norm       | —        | auto   | —      || bad      | bad?     | 2/3\n",
    "|           | norm       | —        | man    | —      || bad      | unknown  | 1/3\n",
    "|           | non-norm   | —        | auto   | —      || medium   | unknown  | 1/3\n",
    "|           | non-norm   | —        | man    | —      || medium   | unknown  | 0/3\n",
    "|           |            |          |        |        ||          |          |            |\n",
    "| Lasso     | norm       | pos      | auto   | —      || good     | medium?  | 3/4 | yes\n",
    "|           | norm       | pos      | man    | —      || good     | medium?  | 2/4\n",
    "|           | norm       | +/–      | auto   | —      || good     | medium   | 2/4\n",
    "|           | norm       | +/–      | man    | —      || good     | bad?     | 1/4\n",
    "|           | non-norm   | pos      | auto   | —      || good     | bad?     | 2/4\n",
    "|           | non-norm   | pos      | man    | —      || good     | good     | 1/4\n",
    "|           | non-norm   | +/–      | auto   | —      || medium   | bad      | 1/4\n",
    "|           | non-norm   | +/–      | man    | —      || good     | bad?     | 0/4\n",
    "|           |            |          |        |        ||          |          |            |\n",
    "|Elastic Net| norm       | pos      | auto   | auto   || good     | good?    | 5/5 | yes\n",
    "|           | norm       | pos      | auto   | man    || good     | good     | 4/5 | yes\n",
    "|           | norm       | +/–      | auto   | auto   || good     | medium   | 4/5\n",
    "|           | norm       | +/–      | auto   | man    || good     | good?    | 3/5\n",
    "|           | non-norm   | pos      | auto   | auto   || medium   | bad?     | 4/5\n",
    "|           | non-norm   | pos      | auto   | man    || good     | bad?     | 3/5\n",
    "|           | non-norm   | +/–      | auto   | auto   || bad      | bad      | 3/5\n",
    "|           | non-norm   | +/–      | auto   | man    || bad      | bad?  | 2/5\n",
    "\n",
    "The above table summarizes our results. *Principled* refers to the number of questions (0—5) to which the answer matches the principled choice."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### General observations\n",
    "\n",
    "1. Informally, the *Predictions* and *Articles* results are somewhat unstable. Specifically, during the repair of two bugs that added more articles to the data set (one where articles with spaces were excluded, and another where the link gathering technique was improved), the values in these columns changed significantly, though generally for the better. This suggests that the regression algorithms' ability to select relevant articles is limited.\n",
    "\n",
    "2. Many options produce good predictions. This is good, because it means that prediction quality is not too sensitive to the algorithm, so further adjustment to optimize article choices and principledness is practical. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Questions\n",
    "\n",
    "1. **Which algorithm?** Both elastic net and lasso turned in generally good prediction, particularly in the more principled configurations, with variable article selection quality.\n",
    "2. **Normalize article time series?** Prediction quality is generally better in a normalized configuration vs. an otherwise identical non-normalized configuration. Additionally, normalized is the more principled option. \n",
    "3. **Positive-only coefficients?** Prediction quality is generally better in the positive-only configurations vs. otherwise-identical unrestricted, and prediction noise seems to be lower. Positive is also more principled.\n",
    "4. **Auto-𝛼?** Prediction quality doesn't really point one way or the other. However, due to the huge range of 𝛼, it seems unworkable to select a single value, and automatic is the more principled choice.\n",
    "5. **Auto-𝜌?** Prediction quality doesn't really point one way or the other. Also, manual selection seems feasible since the range is [0,1]."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### What's next?\n",
    "\n",
    "The indicated rows will be considered further in `category_distance.ipynb`. Specifically, we'll try a better article selection procedure to improve the ratio of relevant to non-relevant articles."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Preamble"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Imports"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The IPython Notebook server must be run with environment variable `WEIRD_AL_YANKOVIC` set to the directory containing the paper's auxiliary data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "\n",
    "import gzip\n",
    "import pickle\n",
    "import os\n",
    "\n",
    "import numpy as np\n",
    "import matplotlib as plt\n",
    "import pandas as pd\n",
    "import sklearn as sk\n",
    "import sklearn.linear_model\n",
    "\n",
    "data_path = os.environ['WEIRD_AL_YANKOVIC']\n",
    "plt.rcParams['figure.figsize'] = (12, 4)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Load and preprocess data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Load the truth spreadsheet."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "start\n",
       "2010-07-04/2010-07-10    0.941927\n",
       "2010-07-11/2010-07-17    0.880415\n",
       "2010-07-18/2010-07-24    0.842615\n",
       "2010-07-25/2010-07-31    0.858382\n",
       "2010-08-01/2010-08-07    0.833830\n",
       "Freq: W-SAT, Name: us+influenza, dtype: float64"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "truth = pd.read_excel(data_path + '/truth.xlsx', index_col=0)\n",
    "truth = truth.loc[:,'us+influenza']  # pull Series\n",
    "truth.index = truth.index.to_period('W-SAT')\n",
    "truth.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Load the Wikipedia link data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "relevant = pickle.load(gzip.open(data_path + '/articles/wiki-graph.pkl.gz'))\n",
    "relevant = relevant['en+Influenza']\n",
    "relevant = { u.replace('%20', '_') for u in relevant }  # doesn't canonicalize percent-encoding"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Load all the time series and filter down to those that are linked from \"en/Influenza\".\n",
    "\n",
    "Units: Fraction of total English traffic, e.g. 0.01 means 1% of total traffic to English language articles went to the article in question."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4179"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ts_all = pd.read_csv(data_path + '/tsv/forecasting_W-SAT.norm.tsv',\n",
    "                     sep='\\t', index_col=0, parse_dates=True)\n",
    "ts_all.index = ts_all.index.to_period('W-SAT')\n",
    "ts_all.rename(columns=lambda x: x[:-5], inplace=True)\n",
    "len(ts_all.columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    </tr>\n",
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       "      <th>2007-11-25/2007-12-01</th>\n",
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       "      <th>2007-12-02/2007-12-08</th>\n",
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      "text/plain": [
       "                       ar+%D8%A2%D9%81%D8%A9  \\\n",
       "2007-11-25/2007-12-01                    NaN   \n",
       "2007-12-02/2007-12-08                    NaN   \n",
       "2007-12-09/2007-12-15                      0   \n",
       "2007-12-16/2007-12-22                      0   \n",
       "2007-12-23/2007-12-29                      0   \n",
       "\n",
       "                       ar+%D8%A3%D8%A8%D9%88_%D8%A8%D9%83%D8%B1_%D8%A7%D9%84%D8%B1%D8%A7%D8%B2%D9%8A  \n",
       "2007-11-25/2007-12-01                                                NaN                              \n",
       "2007-12-02/2007-12-08                                                NaN                              \n",
       "2007-12-09/2007-12-15                                           0.000306                              \n",
       "2007-12-16/2007-12-22                                           0.000170                              \n",
       "2007-12-23/2007-12-29                                           0.000192                              "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ts_all.iloc[:,:2].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>en+Hemopneumothorax</th>\n",
       "      <th>en+PubMed</th>\n",
       "      <th>en+Epiglottitis</th>\n",
       "      <th>en+Measles</th>\n",
       "      <th>en+Hepatitis_B</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2007-11-25/2007-12-01</th>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>2007-12-09/2007-12-15</th>\n",
       "      <td>3.641000e-07</td>\n",
       "      <td>0.000002</td>\n",
       "      <td>0.000001</td>\n",
       "      <td>0.000015</td>\n",
       "      <td>0.000017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-12-16/2007-12-22</th>\n",
       "      <td>3.648000e-07</td>\n",
       "      <td>0.000002</td>\n",
       "      <td>0.000001</td>\n",
       "      <td>0.000017</td>\n",
       "      <td>0.000014</td>\n",
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       "    <tr>\n",
       "      <th>2007-12-23/2007-12-29</th>\n",
       "      <td>3.528000e-07</td>\n",
       "      <td>0.000002</td>\n",
       "      <td>0.000001</td>\n",
       "      <td>0.000016</td>\n",
       "      <td>0.000013</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       en+Hemopneumothorax  en+PubMed  en+Epiglottitis  \\\n",
       "2007-11-25/2007-12-01                  NaN        NaN              NaN   \n",
       "2007-12-02/2007-12-08                  NaN        NaN              NaN   \n",
       "2007-12-09/2007-12-15         3.641000e-07   0.000002         0.000001   \n",
       "2007-12-16/2007-12-22         3.648000e-07   0.000002         0.000001   \n",
       "2007-12-23/2007-12-29         3.528000e-07   0.000002         0.000001   \n",
       "\n",
       "                       en+Measles  en+Hepatitis_B  \n",
       "2007-11-25/2007-12-01         NaN             NaN  \n",
       "2007-12-02/2007-12-08         NaN             NaN  \n",
       "2007-12-09/2007-12-15    0.000015        0.000017  \n",
       "2007-12-16/2007-12-22    0.000017        0.000014  \n",
       "2007-12-23/2007-12-29    0.000016        0.000013  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ts_all = ts_all.filter(items=relevant)\n",
    "ts_all.iloc[:,:5].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "571"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(ts_all.columns)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Join and clean data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Align the time series so that they are the same length and have the same dates."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "(ts_all, truth) = ts_all.align(truth, axis=0, join='inner')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Plot ground truth data (US ILI)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f69d4cd1320>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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VV35HIoWFbAu54QZ338cYrnB/4QV330eSF/SKLcCK/zvvsGASRkpsk5CTw92+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\niESCElsRERERiQQltiIiIiISCf8PddySvO17vu8AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f69d4d2cb70>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "truth.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Plot a few arbitrary article time series. The Y axis is fraction of total English traffic."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f69d4d2c7b8>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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9eDweVq5cyaZNm0hKSiI+Pp5Zs2bVm0w2t9QiNTWV6Oho/5/LL7/cf+3ss89m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EAAAg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\nJCQkJCRkigmd7JCQkJCQkJCQkJAp5n8AL828lsvx2aQAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f69d4b898d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ts_all.iloc[:,:5].plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Replace any NaNs with zero. This should largely be a no-op, since normalization in `timeseries.py` takes care of this when normalizing against language totals."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def tidy(df):\n",
    "   df.fillna(0, inplace=True)\n",
    "\n",
    "tidy(ts_all)\n",
    "tidy(truth)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Remove time series that are more than 1/3 zero."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>en+Hemopneumothorax</th>\n",
       "      <th>en+PubMed</th>\n",
       "      <th>en+Epiglottitis</th>\n",
       "      <th>en+Measles</th>\n",
       "      <th>en+Hepatitis_B</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2010-07-04/2010-07-10</th>\n",
       "      <td>2.626000e-07</td>\n",
       "      <td>0.000009</td>\n",
       "      <td>0.000001</td>\n",
       "      <td>0.000012</td>\n",
       "      <td>0.000019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-07-11/2010-07-17</th>\n",
       "      <td>3.746000e-07</td>\n",
       "      <td>0.000010</td>\n",
       "      <td>0.000001</td>\n",
       "      <td>0.000014</td>\n",
       "      <td>0.000021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-07-18/2010-07-24</th>\n",
       "      <td>3.722000e-07</td>\n",
       "      <td>0.000011</td>\n",
       "      <td>0.000001</td>\n",
       "      <td>0.000014</td>\n",
       "      <td>0.000022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-07-25/2010-07-31</th>\n",
       "      <td>3.596000e-07</td>\n",
       "      <td>0.000012</td>\n",
       "      <td>0.000001</td>\n",
       "      <td>0.000015</td>\n",
       "      <td>0.000022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-08-01/2010-08-07</th>\n",
       "      <td>3.578000e-07</td>\n",
       "      <td>0.000013</td>\n",
       "      <td>0.000001</td>\n",
       "      <td>0.000014</td>\n",
       "      <td>0.000021</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       en+Hemopneumothorax  en+PubMed  en+Epiglottitis  \\\n",
       "2010-07-04/2010-07-10         2.626000e-07   0.000009         0.000001   \n",
       "2010-07-11/2010-07-17         3.746000e-07   0.000010         0.000001   \n",
       "2010-07-18/2010-07-24         3.722000e-07   0.000011         0.000001   \n",
       "2010-07-25/2010-07-31         3.596000e-07   0.000012         0.000001   \n",
       "2010-08-01/2010-08-07         3.578000e-07   0.000013         0.000001   \n",
       "\n",
       "                       en+Measles  en+Hepatitis_B  \n",
       "2010-07-04/2010-07-10    0.000012        0.000019  \n",
       "2010-07-11/2010-07-17    0.000014        0.000021  \n",
       "2010-07-18/2010-07-24    0.000014        0.000022  \n",
       "2010-07-25/2010-07-31    0.000015        0.000022  \n",
       "2010-08-01/2010-08-07    0.000014        0.000021  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "keep_cols = ts_all.astype(bool).sum() > 2/3 * len(ts_all)\n",
    "ts_all.drop(ts_all.columns[~keep_cols], axis=1, inplace=True)\n",
    "ts_all.iloc[:,:5].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "543"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(ts_all.columns)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Define fit function"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This function is the core of the prototype. It fits a nowcasting model against the training period, then plots the model predictions against ground truth."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "def fit(alg, train_week_ct, ts_all, truth):\n",
    "   ts_train = ts_all.iloc[:train_week_ct,:]\n",
    "   truth_train = truth.iloc[:train_week_ct]\n",
    "   m = alg.fit(ts_train, truth_train)\n",
    "   pred = m.predict(ts_all)\n",
    "   # this is just a line to show how long the training period is\n",
    "   train_period = truth.iloc[:train_week_ct].copy(True)\n",
    "   train_period[:] = 0\n",
    "   pd.DataFrame({'truth':       truth,\n",
    "                 'prediction':  pred,\n",
    "                 'training pd': train_period}).plot(ylim=(-1,9))\n",
    "   sumry = pd.DataFrame({'coefs': m.coef_,\n",
    "                         'coefs_abs': np.abs(m.coef_)},\n",
    "                        index=ts_all.columns)\n",
    "   sumry.sort_values(by='coefs_abs', ascending=False, inplace=True)\n",
    "   sumry = sumry.loc[:, 'coefs']\n",
    "   for a in ('intercept_', 'alpha_', 'l1_ratio_'):\n",
    "      try:\n",
    "         sumry = pd.Series([getattr(m, a)], index=[a]).append(sumry)\n",
    "      except AttributeError:\n",
    "         pass\n",
    "   return (m, sumry)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Parameter sweep"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We now explore the effect of different parameters on the sample data. We are looking for two things:\n",
    "\n",
    "1. **Are the nowcasts good?**\n",
    "   * Does the general shape of the prediction match the truth?\n",
    "   * Does the peak have correct timing?\n",
    "   * Is there any over- or under-shoot of the peak?\n",
    "   * Is the 1st season post-training better than the 2nd and 3rd?\n",
    "   * Are errors tidy or wild?\n",
    "2. **Are the selected articles reasonable?**\n",
    "   * Are they related to flu?\n",
    "   * Is the number of non-zero coefficients not too high and not to low?\n",
    "\n",
    "The latter question is complicated because coefficients aren't interpretable, since they are affected by the magnitude of the input series. That is, if one article's coefficient is twice that of another, we can't conclude the first is twice as important because it might have fewer (or more) hits. Thus, we can only judge coefficients on whether they are zero or not."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Define ranges for automatic 𝛼 and 𝜌"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "ALPHAS = np.logspace(-15, 2, 25)\n",
    "RHOS = np.linspace(0.1, 0.9, 9)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Ordinary least squares\n",
    "\n",
    "OLS has an additional problem in that if the number of articles is greater than the number of training examples, which is the case here, then the training data will always get an exact fit."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### OLS, normalized\n",
    "\n",
    "* Forecast: bad (overfit)\n",
    "* Articles: bad?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "intercept_                                       1.660947\n",
       "en+Xavier_Saelens                          2861555.317409\n",
       "en+Human_metapneumovirus                   1388122.752674\n",
       "en+National_Influenza_Centers              1335872.368334\n",
       "en+Host_%28biology%29                     -1287146.802329\n",
       "en+Endemic_%28epidemiology%29              1268200.668675\n",
       "en+James_Robins                            1146078.965454\n",
       "en+Rapid_influenza_diagnostic_test         1140833.707306\n",
       "en+Walter_Fiers                            1138247.780017\n",
       "en+Influenza_virus_nucleoprotein           1036712.583261\n",
       "en+Global_spread_of_H5N1_in_2004           1017446.745062\n",
       "en+Specialty_%28medicine%29                 988486.965613\n",
       "en+Pulmonary_talcosis                      -878468.078167\n",
       "en+Molecular_virology                       864087.768161\n",
       "en+Immunity_%28medical%29                   857068.456510\n",
       "en+Central_nervous_system_viral_disease    -805780.862590\n",
       "en+Global_spread_of_H5N1_in_2005            665567.754531\n",
       "en+Herpesviral_meningitis                  -660090.421228\n",
       "en+Richard_Shope                            612343.088829\n",
       "en+Influenzavirus_C                         597112.500171\n",
       "en+Laninamivir                             -586268.791569\n",
       "dtype: float64"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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il2EYhmFcD3vafQUE2Jaxrc9RBBa2KqVHjx44e/aspG1jYmJ4/C/DMAzDuCD2OLZBQdY7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\nQgghhBCiSPh/g8I/FoMqyh4AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f69d49d52e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "(m, s) = fit(sk.linear_model.LinearRegression(normalize=True),\n",
    "             104, ts_all, truth)\n",
    "s.head(21)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### OLS, not normalized\n",
    "\n",
    "* Forecast: bad\n",
    "* Articles: unknown"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "intercept_                                     1.264551\n",
       "en+Human_respiratory_syncytial_virus       68113.019530\n",
       "en+Influenza_A_virus                       54144.205819\n",
       "en+Influenzavirus_B                        45385.815620\n",
       "en+Influenza                               43542.674371\n",
       "en+Diarrhea                               -39624.136356\n",
       "en+Fever                                   39364.835413\n",
       "en+Pharyngitis                             35101.183609\n",
       "en+PubMed                                 -34347.517533\n",
       "en+Oseltamivir                             34116.806593\n",
       "en+Nasal_septum_deviation                 -32320.539819\n",
       "en+Influenza_A_virus_subtype_H3N2         -30347.721858\n",
       "en+Croup                                   30041.812294\n",
       "en+Epithelium                              30020.747807\n",
       "en+Proton                                  28289.150944\n",
       "en+Guillain%E2%80%93Barr%C3%A9_syndrome   -27433.533640\n",
       "en+Herpes_simplex_virus                   -27382.616443\n",
       "en+Influenza_A_virus_subtype_H1N1          26777.974576\n",
       "en+History_of_Rome                         26640.805474\n",
       "en+Recession                              -23963.681215\n",
       "en+World_Health_Organization               23260.519520\n",
       "dtype: float64"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Zs2ZwcHDA+PHjcfny5UofizHGGGNMF9W5Ymtr6gCUdjmbUKNGjap8DHd39+Lva9asiYyM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\nSpDAVgghhBBCVAkS2AohhBBCiCrh/wHoP0/ruYR22wAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f69d4985828>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "(m, s) = fit(sk.linear_model.LinearRegression(normalize=False),\n",
    "             104, ts_all, truth)\n",
    "s.head(21)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Ridge regression"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If 𝛼 is too small, the prediction is nearly constant."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Ridge, normalized, auto 𝛼\n",
    "\n",
    "* Forecast: bad (overfit, decays to OLS)\n",
    "* Articles: bad?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "alpha_                                     5.108970e-15\n",
       "intercept_                                 1.725927e+00\n",
       "en+Xavier_Saelens                          2.716245e+06\n",
       "en+National_Influenza_Centers              1.347704e+06\n",
       "en+Host_%28biology%29                     -1.286538e+06\n",
       "en+Endemic_%28epidemiology%29              1.254435e+06\n",
       "en+Global_spread_of_H5N1_in_2004           1.209799e+06\n",
       "en+Human_metapneumovirus                   1.180775e+06\n",
       "en+James_Robins                            1.174187e+06\n",
       "en+Walter_Fiers                            1.172023e+06\n",
       "en+Rapid_influenza_diagnostic_test         1.168551e+06\n",
       "en+Influenza_virus_nucleoprotein           1.021397e+06\n",
       "en+Immunity_%28medical%29                  9.257935e+05\n",
       "en+Specialty_%28medicine%29                9.084004e+05\n",
       "en+Pulmonary_talcosis                     -8.531552e+05\n",
       "en+Richard_Shope                           8.296110e+05\n",
       "en+Central_nervous_system_viral_disease   -7.795096e+05\n",
       "en+Molecular_virology                      7.209352e+05\n",
       "en+Global_spread_of_H5N1_in_2005           6.237103e+05\n",
       "en+Herpesviral_meningitis                 -5.976264e+05\n",
       "en+Robert_Edgar_Hope-Simpson              -5.959125e+05\n",
       "en+Laninamivir                            -5.877968e+05\n",
       "dtype: float64"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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9SsriDVx2eAEdbu6Ojg+Jq4+4e4hCCEcqa/VVqmucPg3Nmxs9ZihHOHCAPttm\nM7/rGzB3rtuGKtwgO1tFIXfdpdYiRTK2dZkhI9qwoYVyhLQ00rUImjWz/FzfqAjCi23vY1ubUoTq\njB1L+bwBSySwrSeablxBg1tHAOAX5EenMb3QfDQ0H42E2MGc+GxdDUcQQniVsjKErCz1IWO8Djvj\nxsE338C995J273PM9p2ksnYJCW4brnCxjAx1tTN+vCpNKSrizBkVbLqKTB5znaIi9R5gMbBNT+dU\naYsqL2r8oloQVnraQg2DKUe2+6rO6NGwdCkUF5tu13VVmyuBbT2QdTSTNud20u2RIRYfLxk0GO13\nCWyFqFPKOiIYtaesEBUFffpAXh7BTz3MkROBcMcdMG+eW4Yq3OD0aWjWDDp0gPbt4aefPHLy2NSp\nsGyZa8ZTlxUWqsA2ONhyxja5KKLK331gSAA5WuNqr0J0vfaBrcnFdzXatlWTXtdZCFuaN5fAtl7Y\n99ZP7I+Ip0FYA4uPx9w+mDZJUmcrRJ2SkQHNmlkObAHefx+WLiW8hS+NG8P6jveoGfLmaRBRNxky\ntqCytgsWeFy7r8REeP11+P13142prjIuRajUyzY9ncS8qjO2AQGQRoRanez8edVM9q+/1N9FRYCq\n2w0IoHxVw9q2+6pJu3aqPNxcixYS2NYPK1dScOWIKh9uc3VH/PVCkjccd92YhBDOdewYtGljOnHM\nWKdOEBeHpqmJ8WNndqUoKg5+/NHVIxXuYFx4fdVVsGmTx2VsX35Z9S49IlNAaq3aUoS0NI6eryZj\nGwipekv0f/xDvZmMHw/33gs33QTPPguYThwD55YiVEXXJbCtF4rzi+mc9BMdHruuyn00H40j0YNJ\nXCjlCELUGQkJ0LZt1RlbI/Hx6rNqTsFd6EY9bkUdZihFAIiNhXPnKDx91i0ZW0srSZ04AUuWwDvv\nwNGjrhtTXVXd5DE9PZ2D2VUHtn5+8Jj2LiVfLlUlTrt2wfbt8OuvauJhYaHJxDGwLbDVddW+y8/P\nvn+bMY8vRdA0zUfTtO2apn3vzAHVZQc++5PTgTFEXhJT7X5FAwejWypYEUJ4JxsCW4AZM+BHriV/\n5eoaJ4mIOsC4FMHHBzp1okXmfpcGtg0agK+v5WVeX3kF7rkH+vVTNx/kJVk7hoxtpRrbwkLIySEv\nqGm1Na5Hg7pS0L2vaSFshw6q/9aKFSb1tWBbYFtUpIJa4+VzrWHpgsjjA1vgMWCfswZSH2Su3UV6\nTJ8a94u535FOAAAgAElEQVQeN5i44xLYClFnlAW2aWnWBbYBAfDYG7Gkl4TDzp3OH59wL7MecMUd\nO9OpZL9pY34XsFRnm5QEX3wBTzyhMoxNm0JKimvHVddUWWObnk5JWHPCm1cfmgUGVrGGy8SJ8Mkn\nlTK2ttTY2lOGUFUQHBamlgQuK/11GasCW03TYoDrgI+dO5y6Td+3n5IOnWvcr931XQgpySZ91ykX\njEoI4VS6blJja01gC2q1nx+KrqJgxSrnjk+4n3EpAnAhtjO9AvfbnDWrLUt1tk89BY88UvG6bd9e\n6mxrq8oa2/R0CkOrnjhmEBBQRWB7yy2weTPFiSkmGVtDYGspq2ppbLWtrwV1Ll9f97SRszZj+x/g\nKUCm6tdCw6T9BPftUuN+mo9GUkg3UlZJglwIr5eWpj7BQkKqnjxmQXAwJHUaTs43EtjWecalCEBW\ny8508dnv8mGYL9Kwdi1s3QqTJ1dsa9dO6mxrQ9crgsdKgW1aGrkhVdfXGlSZsQ0OhtGjafLdpyYZ\nWz8/9RxLZSbm7A1sqwqa3VGOUGN5sKZp/wDSdF3fqWlaPFDlNeT06dPLv46Pjyc+Pr72I6xDWmbv\npyS+5owtwNmYruib9wJDnTsoIYRzlZUhADZlbAFCb4yn0eu3UeneoqhbzEoRTjXtTIci1we2xsvq\nFhfDo4/Cm2+avvQkY1s7xcUVNayVamzT08lpUHPGNjBQlTNYdPfdtLxxHA16T8U4XDMsq9uwYfXH\ndmQpAjgusF27di1r1661al9r5r1dBtygadp1QAMgRNO0hbqu32m+o3FgK0ydP3WesJLTBA5qbdX+\neucuaPslYyuE16tFYDvo2hD2v9OL3r//Dldf7aQBCrczK0VIDmpPn8Jk1ZA0KMhlwzDO2M6erYKS\nm2823addO7XSlLCPob4WVJBp0v81LY3MgFpkbAEuuYQS3wB65W8BBpRvNiyrW9MdI+Px1Yauq4DX\nUYGtebJ0xowZVe5bYymCrutTdV1vpet6W2AssMZSUCuql/TLAU4EdcA3wNeq/RsP6Epo8l4nj0oI\n4XRlgW1BgUq8Nmli/VP79YMfioaT972UI9RZeXkqTRYSUr4p46w/GY3bwqFDLh2KoR5y/3544QV4\n773K2TjJ2NaO8apelmpsM3xqGdhqGgl9x3DFqS9NNkdEwCkrpu3UhVIE6WPrIpmb9nOmRc31tQbR\nw7sQm7NXViATwtsZtfpq3ty2NjoBAZDRezgFKyWwrbMM9bVGL4wzZyCzRWcVYbpQeDgkJ8Po0RUL\nMpgz1NhaMxFJVGaesTWvsU3TazF5rMyBnmO4NHGJSV+2tm3VW1FNPLUUwRY2Bba6rq/Tdf0GZw2m\nLivetZ/CdtbV1wI076buF2Tss7BOnRDCe9jYw9Zc9E2XEHAqSU1CE3WPWRkCqHKAnFjXB7ZhYTB3\nLvTooTpHWdK0qQp83NGftC4wzthWqrFNSyOlOML85VBJYKBal+HWW6Fr18qPnwztTG5wOGzYUL7N\nmYGtJY4uRbCFZGxdJOj4fgJ7WR/Yaj4aJ0K6kPyL1NkK4dWOHi0PbK3tiGBs6FV+bPUbBL//brI9\nKUndxRZezqwjAqiMbWFb1we2cXGq1ODDD6vPwrVvL50R7GWesTXvY5uUX3PGNjhYrZ7bu7cqCzFf\nMCM3F/Z0HQtfVpQj2BLYVrc4RFWsKUXYvx9WrrT92LaSwNZFWpzZT7PLrQ9sAc5Gd+XcZqmzFcJr\n5eWpwCU62u6Mbc+esL70Ms7/vNFk+623wsKFDhqncB+zjghQtrTtRa4PbIcNg927Tcp9LWrXrqLO\ndsMG+OEH54+trqi2xjYtjYQLNdfYvv++ClKnTlU1++Y3c/Ly4HCfMfD116oNA+4vRdB1dRfg3Xdt\nO7Y9JLB1gcLzhUQWJtJqWAebniedEYTwcsePqzSYr6/dga2vL2iDBnHhl4rbiikpsG0bbNniuKEK\nN7FQinDmDAR07wSHD0NJicuGommqFVVNDBnb3Fy44w5YvNj5Y6srjDO2JqUIpaWQkcGRs81rDGzb\ntKmYhBoTo+qijeXmQmFsO4iNhXVqFVN3lCJARWC7ZIm6GDIfqzNIYOsCSWuOcMq/FYGNA216Xkj/\nrjSWzghCeC+jVl/WLqdrycX39yUkeX/5p+B336lMrgS2dUAVpQhNYxqq2pVjx9w0sKoZMrYvv6zi\n7owMd4/Ie1SZsT19Gpo04VRmQI2BrbHYWDhxwnRbXh5q5bExY+CrrwCIilK12zUt0uDIrgiGGtvU\nVLXIx5w5lcfqDBLYusDpdftID7etDAEg5uquxJyTjK0QXqsWPWyNXTkiiD1aD9JXbAPg22/Vbcjk\n5MpLoAovU0UpQng4qi3Bnj3uGVc12rdXJQizZ8M778hEMlsUFpoGtuWBZnIypdExFBWpnrPWqipj\nGxyMakL87bdQUoKPj7p5dPx49cdzdClCeDhkZUGvXnDTTaoy4tw5245vKwlsXaBg537yWtse2Dbv\nFoEvJZzeK50RhPBKZoGtPZPHQM2CPtN5EIc/3UB2tsrU/uMf0LevKkkQXiwjw6QUobQUsrNVhwJG\njVJLf3lYb6327SExUWXhevWSwNYWxoGjScY2JYXCZtE0a2ZbS0BLGdvc3LKMbbt20LIlbN4MqLei\nmm4AOLoUwd8fhg6FV19V/y5LgbijSWDrAv5H9+PX3fbAVvPRSArpSsoqydoK4ZUclLEFiBh1GT6b\nN7JyJcTHqw/F/v2lHMHrmWVsz55VGTs/P2DCBLUOatntZE/RogW88QY89ph72jl5M+OMrUmNbXIy\nF5rG2FSGAJYDxbw8o2WQb74Zli0DKtfZnj6tAlljjgpsoSJAX70aOnZUX8fGSmBbJzRL20vYIOsX\nZzB2NqoLZzdJna0QXqms1RfUPrDtft9Aup7bzHvvlDBypNomgW0dYBbYlpchgJo5+N//wlNP1Vwc\n6UKaBk88oQK0Ro1Una0HDc+jGU8ea9BALbRQUgKkpHC2UbTNgW1VGdvywHbkSPjmG9D1SoHtyJGq\nUsGYo1ceMxcT4/w6WwlsnexC+gVi8o/Q7qbudj1f79IVba/n1VgJIWpQUKA+RTp1QtcpX3nMXv5R\nzcltHEn+n3sYMUJt698ftm6t3MdSeBGzUoSjR9VEn3KXXw4DB8Izz6g1bkeMUI1mPYRhgpBMILOO\n8eQxTVMBaF4ekJLCmSDbA9uqMrYNGpR90727ukDaudMksM3KUhUK5s91VI1tVYGuZGzrgCNf/sWx\nht1t7ohg0GLkZcQc+c3BoxJCON3evSpb26AB2dnqgyYoqHaH9L3iMh7vt6E8QI6IUCtBHTxY++EK\nNygpUQW1RtHM4sXq7rGJ116DNWvgr7/gyivhxRfL+5N6AilHsJ5xxhaM6myTk0nzt70UITpadR0w\n7gpnkrHVtPKsrXFgu3q1uiBOTTU9njNKEYxJxrYOyPpxC2c69Lf7+Z3G9qZRcTaJa2SZFyG8ys6d\namkgajdxzFjzkYP4Z5sNJtukHMH7bNtWlmXPzITQUJVRQ2Xavv0Wxo41e0KrVmrlhPnz4V//gtat\nYflyVw+7Ss2aSWBrLfOVvcrrbFNSSMH2jG1goOppm240x7x88phBWZ1tmzYqsNV1+Okn9fZkHtia\nB97WsrYUQTK2dUDQ31vxH3Sp3c/38fPhYLvrOP6BLO0ihFfZsaM8sK1ND1sT11wDP/+sZhiV6d+/\nfNKz8AJZWTBgQNlqXWZlCMuXwyWXQGRkDQd58EHVa8tDSMbWepYytrm5QHIyiSW2Z2yhcrBoMnkM\n4NJLITOTxin7CQ5W70c//aTmJjoiY1vbLg6OJoGtk8Wd2kLsrfZnbAH8rr+O4HUS2ArhVXbsUL2Q\nUBm6bt0ccMzISLjqKliwoHzTgAES2HqT9evVhKvXX6fSxLHPPlMredXollvUHYHDh502TltIYGs9\n84xtw4aQn34OdJ2UnMbmi9BZxfz2fqWMrY8P3HknfPwxbdqoC6iAABg82HmlCLpedSmCZGy9WOof\nyfjpRcQMal2r43R5bDgXZWzgQvqFmncWQrhfaSns2lUe2K5cSfmEr1qbNEktFl82Y6xXL9V0PSvL\nQccXTrV6NTz9tOoDe2hjRWCbkaGCXkPHi2oFBsLdd3vMJDKZPGY9Sxnb4sQUiIkh44xW64ytrlsI\nbAHuuw8WLqRTXD4ffKBu/kRGWg5sjQNva1lbitCkiaoHduYiDRLY1lLW0Uy2h13JutHvV3rs+OIt\nJLToj+ZjQ57egtBWoRxp0pe978kkMiG8wtGjqsN+WBjZ2WrOz9ChDjr2ZZep+4yrVgHqQ7J/f/j9\ndwcdXzjVmjVw9dXw+OOwaXGSSmEBS5bAtddCSIiVB7r/fli4sGxKvXtJxtZ6lmps9RPJEB1t2urN\nBsYZ29271YSyShNV27aFPn24vuBrdu5UgW14uGqTnJ9vOj5nliK4YpEGCWxr4cT6Y2R2uYyAwhz8\nt6yv9HjB+q3kdbe/vtbY2cv+Qf7SlQ45lhDCyYzKEH7+WXVsMql5qw1NU1nb994r3xQfD2vXOuj4\nwmlOnYKTJ1Xp9cSJoB86RHLDjsyZA7NmqbvFVmvTRhXkesDiDTJ5zHqWMrY+qSm1CmyNM7YrVqi7\nQxaDzfvv54r9c/DzgyFDVIVCRIR6XRo4uxTBMF5n1tlKYGuns4nZ+A0ZRPKNkwj6fB6Rp3ZU2qfp\noS00vqp29bUGMfddR9uDP6CXetbSikIIC4w6Iji0DMFg3DjVCuGo6pYyeDCsW+fgc4ga6ToMGwZ/\n/23d/r/9pn5Xvr4qoLki8jD3vdaBH39UZdPXXmvjAB58ED74wOZxO5pkbK1nqcb2wsFkClrEOCRj\nu2IFXH99FTtefz1h2Ud57Mq95XcGzMsRnL1Ag2G8krH1QAlLd5DeqC2Dv3qY1ld3okVRCjknc8of\nL8otot25HbQfd4lDztduRGd0zYcj38kqZEJ4vLKOCCUl8OOP8I9/OPj4wcEqvffJJ4BK3B08qFqi\nCtdZt06VFixebN3+q1eblqS0LTrEvA0d+fZbO0tVrrtOpdu2b7fjyY4jga31zDO2110HWXtTmPLf\naC5cUH2pbWXI2J4+rdpnX3FFFTv6+xNw/9280fGj8k3mge25c2pyoy1sKUUwjNcQiJ89C19+advz\nayKBrZ3ObdnH2Si1TK5fkB/HGnbj2LcVl+1HvtlNamBrGsc0dsj5NB+NhC7XkzL7e4ccTwjhRGWl\nCFu3qg+OVq2ccI4JE1SNZUkJgYGqo8+GDTU/TTjOhx/C+PGwdKl1Gas1a4wC2Lw8tIzTtOxXixeH\nr6+qtXVz6y+ZPGY984ztLbfAqEtTeGNxDElJ5S2NbRIVpYLTFSvU+h2B1a0HNX68Kugum3xqHtge\nPAgdO9o+BnPVlSIYZ2zff1/1bf7NgVOIJLC11/596F26ln+b2ao3WasrrprTl/5OausBDj1lyO03\n0GzTdw49phDCwU6dUp9esbHOKUMw6NZNfSr9+itgWo5w6hT066e6JQjnSEtT9dNvv60m3+zbV/3+\nx46p2epdupRtOHpU1cnaE8kYmzgRvv7aren6pk0hJ0e97EX1LC6AkJyMb6touxdxCQxUv4N586x4\nv+nQQc1Q3KHKJ80D2wMHoHNn+8ZhLUPGtrhYXZPNnAn33FO2UIUDSGBrp8bJ+wi5tEvFht698dlV\nUWfbaN0KAm68zqHn7D5pMNG5h0nbmVrzzkII9zAszKBpfP+9E8oQjN11l1qNCjWBbN06lSm57z7V\n/mvqVCeeu56bN09l25o0US26li2rfn9DtrY8i3XokAoyaisiQk1xX7iw9seyk4+PCqzOnHHbELyG\nxXZaKSnl3THsFRMDGzeq0oYajRihiv8xDWzPn1eZd3vuMNlTY/vtt2oRvf/7P9WP+//+z/bzWiKB\nrZ1izu4l6sqKwDb8yt60SFaB7dmks3TI3Eq3fw936Dn9g/3Z1+oaDr7hOUspCiHM/P039OzJ7t0q\niTbAsTduTI0bp5YQysqiXz+VNXz3XdUjdds2Fehu2+bE89czFy6oD/CSEpgzBx54QG0vW7G0Whs2\nmNU+Hj7smMAW4N574dNPHXMsO0mdrXUKC80C24ICdRVay6UJY2NVrb1VWd8RI1TdAqaBraEMwdab\nCJZKDqoLdA0Z23ffhUceUdveeUfVqjvi/UoCWztk7D+NP0VE9KpY97Dtjd1plX+QgnMF7H3zJw42\nv5xGLW2swLaCdsMNBK2SOlshPNbu3dC9O59/DrfdprJZThMWppqifvEFQUHQt69q/v+//6kM2syZ\n8MQTtmVT6pvjx60rUT1zRgUNTZqohHyLFnDxxeqxQYNU0u3Ysaqfv2WL2UXO4cOOKWYEFTGnpEBC\ngmOOZwcJbK1TqetAaiq0bFnrN4r27a1c3APUC/bwYUhLMwlsDxyAiy6q1TBMVFVjGxqqSnyPHq0Y\nc3g4PPMM/Oc/tT+vBLZ2SPl1P0mNupgsvNAgrAHJge1IWL4X/fvl5A2/wSnn7vrktVyUvp7zp847\n5fhCiFras4fSrt1ZtMjK5VFra8IE1R1B17nrLlXz2aOHemj8eDXL+ZtvXDAOK5WWesSaAuVmzoSH\nHy4vOazS/PkqM5uQoDpsLVpU8ZivL9xwg9pn9mwVZ65eXfF4Vpa69dq1q9EBHVWKAODnpyKEpUsd\nczw7yAQy61TK2CYn17oMAeCVV+Cpp6zc2d8fhg+HH34wCWz377c/sLXl4lnTVNb2gQdMg/x//lN1\nkantBZIEtnY4u2kv2VFdKm1Pi+rN6R/+oHPij3T4t3NmjIS2CuVw2KXseesXpxxfCFELRUVw6BAb\nMzvTpAl07+6Ccw4frmYl/ford91VcXscVMA1cya89poLxmGlFSucXHdsg5MnVdA/axY89ljVH86l\npaoDwkMPqczSoEEqQ2ZszBj1c167Vj1m3AJs2zaVTffzM3qCIzO2oAp+v/7accezkWRsrVMpY5ui\nFmeoLV9fG0sIysoRIiLU3YjiYvsnjtlaigAqEJ80yXRb06Zw4421LxeXwNYO+t596J27Vtpe3L03\nkUvf41SDNkT2rf0LtSrnh95I8VLpjiCExzl8GGJi+N/SYNdka0F9mk2bBtOnW/w0ue46dbv94EEX\njacGJ06o4O/kSXePRNX1/fOfKtN17lzVceGqVWoi+aXVLCQ5fLg6xpdfwuTJqvTZ8OuoVIZw7pz6\nExXlsH8LgwerdHJiouOOaQNZfcw6lTK2Dpg4Zpdrr4XVq/ErLSQsDNLTXVeKACqAbdKk8vb77oOP\nPqpd+ZQEtnYISd5Ho36VM7ahg3vToWAP6Zc6pwzBoPUD19A2cY1TzyGEsMOePZR06cbSpWpel8uM\nHg2ZmSoCAzXL6a23oKAAPz+4/XZVd+sJ0tLU30uWuHccZ8/Cxx/Dv/+trg3eflsFuFu2wA8/qMC0\nrNUns2erRb5qakRvCFg6dlTZWUMLsC1boL/xIpRHjqi0rq2d7avj76+iBTeVI0jG1jqFhRByLkXN\n9IqPVy8uB2Rsbda8ueo999xzdGhxlhMnVM2rvTcRHFXHP3Cg+r+zfr39x5DA1g7RZ/eZdEQwaDNS\nrQ0feb9zA9tWQ9oRUJpP6h9OXJNOCGG7PXvYQ3d69FA1ZC5jnLU9fhwuuwxefVX9QS1S9r//VQRq\n7pSerpb8dPRqQ7aaM0d1yWrdWn0fH6/iwkmT1GztZ55RP8bvvlMfsrfdZv2xNU0d2xAcb91qlu11\ndBmCgRvLESSwtU5REUTuW61S3M8/r/6P3nWXewbz2WeQmsrKg+0onvESUS1LadDA9sPYU4pQ3bHu\nuw/mzrXv+SCBrc2yjmYSVJpLy4srX2E1adOUP2b8QMdbezp1DJqPRkLz/hxfvMWp5xFC2ObEj7t5\nb203QzzpWqNHq1lKvXurCWV//gn//S8cPkzPnqp+be1aN4zLTFqaChIPHYKkJOefLz8fevVSi1YY\nFBSoMoSnnzbd95131I/txx/hr7/UB+y996pJgLYuM2oIbA8dUrdcTdowOXLimLFhw1TNiWG9UheS\nyWPWKSyE8P0bVCnAkCFqRmKzZu4ZTNu2sHAhs27YStiWH3indJJDW6jYe0PijjtU7bu9Q5HA1kYn\nft5XqSOCsUumXVvlY46U26M/BesksBXCU7z3HhTv2MPTC7vRr58bBuDrCwsWwPffq5lQsbFqhYYH\nHwRdZ/x4t/bwL5eerkoKR46Er75y/vn++ku1Fn7nnYptn3+uJvb1rCYH4eOjrg+OHYPXX7f9vEOH\nqhKE1avNyhDAsT1sjfn7q+zfrFmOP3YNJGNrnaIiaLp/o7od4CH8OrVjePGPdC/cDv/6l10RpSNb\nCoaHq9XU7F3wQwJbG2Vv2kd2ZOUyBFcLvWYAYYcksBUV8jLzSFx9xN3DqJd+/x3+81IucX7JdLjO\nCQGLtfr1g8svr/j+0UfVp8OiRdx2m7qtft7NnQLT0lQP2DFjXFOOsHGjasU1d66qqy0tVd0LzLO1\nVWnYUH3I2iokRHVCeOONKgJbZ5QiADz7rKqzrWmNXweTwNY6QbmZBKUlVX9V5WKRkZCS05jfpvwM\nmzapF60NHFkqbmBYxMEeEtjaSN+7j5JO7g9s24+7hHY5Oyg8X+juoQgPsfXa6RSMuNndw6iz3ngD\nNm+uvL2oSLWB+vDRffh06mhhIXg38vNTUdwbbxARoSZmfOfmhirp6eq2fHy8msB/6JBzz7dxoyp9\nuPZa1bJr+XIVdA4Z4tzzgipHOH7cLLA9d041DO3UyTknDQtTBcJWNzV1jPBwdQ3lCXXcnuyi7M1c\n6NrPrPebe0WWrTXV/uJQdRvl1VdVf91a0PXaBbyxsfYPQQJbGzVJ2E7IZT3cPQxCokJICWrHkaV/\nu3sowgOk7Uylxx8fE5GfSNrOVHcPp87RdXjzTRg1SnXnKbd9O59PO0jLlnBlyz3QrZvbxliloUNV\nNLlvH7fdBl984b6h5OWVzQoPUZ/rTz0F99yjemg6g66rBNRll6kM7dtvq7v0Tz/tnCyTuWuuUdle\nk+Tciy86v67y4YfVFYOhS4YLBASo7PZvv1Usjyoq6352I7l9Brl7GCYMge1FFwFt2qjypcmTbTqG\no1c3jImRjK1L5GXm0e7cdjrd5czF3613qnV/Ti+XcoT6RC+1/O5x4M6X2NV7PPujruTwh7+6eFR1\nn2GS06RJKrgtKFDf509+nitfG87sGeloe/e4aEUGG/n6qt5jn3/OjTfChg32167VVlqaytYagson\nnlCB30svOed8hw9DcLD6kOzeXZUGnDmj4kpX6NkTdu40KmU4dAjmzXN+DWxAgMq6PfEElJQ491xG\nOnVS5d1r1qhuc6KyXuc3UHiJ59TXArRqpVoql19rTZmi6qs2bLDq+c4qRZCMrQscmL+ZY4160Kil\njdNjnUQbMAC/PyWwrS/2zt9Gll8zjgZ2ZnPsaNbf8RF5mXkkbzhO9z1f0HXhFArjr4JfZFU6RzO0\na3rmGRUkXX01DBuqc271Nk73GEb7Z26F7ds9M2MLqpHtokU0aqhzzTXuW6AqPV3V1xr4+KgJbR9+\nqD5HbZGaqiZnVWej2Rydd95RE8dsWqGplkwa3j/+uMqEtWzp/BOPHKnaMXz6qfPPVWbrVtizRy05\nXMs72XVTYSGd87dTdLF50bV7xcSYLeDSsKGaMfnII+oWix1qW4rg1Iytpmkxmqat0TRtr6ZpuzVN\ne9S+U3m/s9/+xpkeLijMslLUzf2JTbFQ9CfqnNQ/Uwi752YOPvERJYu+onTEDQT+uoLzzVpz7upb\n2DXwQZp3bUHre4fTMXFVlZldYR9Dg31Ng/nz1cSnaeMTCW/hS68/P4HGjdU9WE8NbHv1ggYNYNMm\nxo1zXzmCIWNrLDISPvlEtfjJzLTuON9+q7qajRhh2sbLnHlg27Zt9auHOY2uq0bChw6plKYraJqq\nn3nuOZfPGGzZUrX+Kipy6Wk93/btHPdrj394Y3ePpJJK7exGj1ZlCePHu6Vw2tmTx4qBx3Vd7woM\nAB7WNM2Bi655j6a71hJyfby7h1GuzTWdCC3O5PSeNHcPRThRXmYeWYNv4uCwhxjw+ig6jurOZbPv\n4NJT35OzYh3pva6m9+dPAtAqvi15Po04vGy3m0ddtxivHBUSokrQBgdtxXfApWi+PqrR+eTJ6p6e\nJ9I0lbX9/HOuuQZ273ZPRs08Y2tw3XWqPODeeyvX6pWWqkD2qafUKmGjRqnE57Jlqh3XlClVn2/j\nRjVhzq02bFDL3c6apdLTJuupOtkll6hZcq+95rpzojLiEREqq+6tCgrU69WhNm5km99lHjW/tEqa\npm5vnDxpVQswR9fYOrUUQdf1U7qu7yz7+jywH3DD+m/ulZuRS7tzO7jobne/S1bw8fPhcPilHFlg\nXR2McK31ne9j06O1n0Hxx8BHyW7WnsE/PVPpsbbXXUT8xpcIjatYdDux43BOfirlCI5SWKj6oPbt\na/bA1q2UN6wNDYVXXlH31j3VbbfBkiUE+hQxciS8/75av2HIENct3GApY2vwyiuQkKDWiQc10eyL\nL1Sd6osvqsn+sbEwfLiqWx04UCUjV62y3K3izBk10c+tZc9HjqjlzCZOVFcTlfp+ucCsWeqX7eJF\nG2JivLscYckSNQfPoTZsYLPPZS69tqmVBg1UX+z161UdVhX12o5cecwgOlq9fuw5jk3vwpqmtQZ6\nAVttP5V3OzBvEwkhvWjYoqG7h2KiYPSdNJzzltx69jCpf6Yw8MA8/BfXriP+9tdX0+7Iz3Tf/JHV\nC38EjLiKRltcNxu6rvv7b2jf3sKtukrrpHq4Nm1UlPj++9x1l6pr/esvtSLZb7/Zd8iiIvXzsVZV\nGVtQE6wWL4b/+z+VvW3ZEj7+WCUb//hDfa4+/jg88ICq/AD196uvqlJA88/cTZvUr8etXZWWL1cp\n5qYiOX8AACAASURBVPHj3TeQuDj1w7viClUH7iLeHtgmJakLMYcpKYH16/lNj/eewBbURfsvv6jb\nVtdea1Oz4trU2AYHq/dce3ojWx3YaprWCPgaeKwsc1uvnPvuNzJ7ek59rUH/t8fSsCCT7a9KIONJ\nDj4+hy1tb6PT6Q2cSz5n1zFyM3IJn3o/KVM/ICQqxOrndX5oCJ3ObCI/O9+u8wpTFuNXQ0RXKY3r\n4ebMgZdeYlDTvWRlqYXKbr3V/l7+n30Gt9xi/f7VZWxBzapfskTVzh45olbtuvba6j8gb79dZXNb\ntVK1zy+8APffrypDrrjC+rE5xfLl6h/jbk8+qa4Qrr5a/dJdwNsD2+RkBy848fff0KIFJ0qivKMU\nwViLFvDrr+r9rk8fi2thO7oUAex/DVl1Calpmh8qqP2frutVtveePn16+dfx8fHEx8fbPiIPFb7r\nN4qmzXT3MCrxDfAl7b5phMyajj55uEuW8xXVKzhXQJeNH5Hz3W8cvDuDotd/ZOA7Y6x6bmmxKtL3\n8fNh27XPExB1CQNfsO2DMTSuCX837sXZSQu54rP7bB6/MLVli2oFa2L3bmjduiJ16C3atYOXX1Yz\ntbZuhYAAunaFmXa8tem6Wkb4+HEV51vzYV1dxtYgPl79sZamwc8/qzKGDRvgwAGVmB450jWLMFQp\nOxv+/BOuvNKNgzBy663QtasKblu0UFcMTuTtgW1KimMC219/hZUr4T9Rq2HoUApne9YaLlbz81Nl\nLaWl6u8PPyx/yBmlCFAxgaxPH1i7di1ry2qmqpswClYGtsA8YJ+u6+9Ut5NxYFuXnD91njbnd+Ez\nwTP615q79M3RHP9oJn+9/At9n73a3cOp9/58ZikNQrvRZ0RnUq66Cb9vvwUrAtvcjFySY/vTNn8f\nZ7XGdNEC0HbtsmsMDf83h8iRQ9ka24JLX77JrmMIZetWmDrVwkZvKkMwNnEirFgBzz8PL79Mx45w\n7JiqJbblFunWrWqJ2shIlcBp167m59SUsbWXpqnzWzMGl/nlF7W8cXCwu0dSoUsXNSFozBhVhxIV\n5bRTRUfDtm1OO7zTJSerLh0lJbVrD/f553D0KHBgDSUT70X70LXt5hzuySfVctDPPqsiz2rUtr+t\n8QQy42SpWvF3RpXPs6bd12XA7cBQTdN2aJq2XdO0a2o3XM9VlFvE+VOmlRY7Ji/mcJN+BDfzoDco\nI74BvqTdP42gl5+XWlsP0HjhexTdPwmAi56+gS4nfqLgXEGNz/tj6GROR3SDvHz0g4dpcOIwzbvW\nkN6qQvsbunBmwUravnoff70iZSqgMggW7qBVKyNDZW0uMu8D482BraapkoQ5c+DUKYKC1G38w4dt\nO8x776mlhDt2VGUD1rAmY1tnrFjhGWUI5q64QhUq//OfTl28oS5kbDXN+hZ0lpSUqGztuYxC2LiR\nwgFeVl9rSbNmarnAV1812eysUgRLcx5rKhW3pivCRl3XfXVd76Xrem9d1/vouv6TvQP1dJsue4rT\nrfpwavtJAI58v4/O/3uGRvP+6+aRVa//W6MJLspm59tr3T2Uem33nE00zUvh4ufVB1qLHi1JatSF\n3f+tfnbOX6+sosO+b+n62/v4BfkR1iHcprpaSzrfcTEn/7uUuKm3cXyVjVFLHfTHH6r7kbWf5Rcu\nwLRpMGCAhWYHxh0RvFFEhCpH+M9/AJXIs6XONj1dfWBPmKAm1h09WvNzioshK8u5K8l6jJIS+PFH\nzwxsQc3QKy5WTX5vvFEFuZs2OfQU3hzYFhaqgLZdu9qVI2zbpt474k5thQ4dKAoJ884yBHNPPAGL\nFpWvL+7sUgRzf/1V/fM8uDeN66X+kUyPvxeS2OsmLgwYxon1x2D0rewf/yodRnpo4/UyPn4+pIx7\nipJZr7h7KPVWaXEpvo8/SuK9L+EXVFHlk3n5TeQu+rbK52UfyyLy/+4m9cV5NGnT1KFj6jnpcvbe\nMp38G0fX+8lkR46ogGzjxpr3/eknVY6Yk2Nhrk1Ghnq39dTFGKz15JOq7UBWFl27wt691j/144/V\nZP+mTdWHvzUZ2zNn1CQvr74Na60tW9S9+Bpu1bqNr6+a2PbCC3D33aoN2ZgxqiXcrl3ql1XLbG5U\nlOpj68IVfR0mNVVd+0VEqP/u9lq+XE1u7HN2DfqQoTaX+3isiAi4665KWVtzjixFMDh3ruYLJgls\njRy6+2X+7nsP8dte48SAMTQb3IVT0Rcz6JMJ7h6aVfr99w6is/Zw4Isd7h5KvbTxnvmU+AQw8P3b\nTba3/tdNXHTwW3Izcis9p/B8Icf6jOJQr9FcPGW4U8Z1xeKHyAprz9bLn3DK8b1FQoJqH7NsWfX7\nZWTAuHEqePvf/8xunZ87B9dfr6bdu7WPlAO0aqX+Le+/b1PGNj9ftUV95BH1ffv21gW2aWn1qAxh\n2TLPzdYaNG4MV12lMrYPP6xm3bVvr65YOnSAoCB1y9nOe/EBAepCxuGLHLhASoq6LmnevHYZ2+XL\n1Zy9K1lN7oBhFBZ66cQxSyZPVv35dqh4w1WlCDt31tybWgLbMimbk+i+dzHdFjwFwOA1z7Pzyc/o\ntfEDr+k0ENg4kIPX/pvMKa5dZUbA2cRsOv7v//Cb/W6l10vr4R04Eh3PthteNNmul+ps6zGRggah\nXL7Jeb8zzUejy6aPaX3gJzY/vsRp5/F0CQnqc3rZsurfhOfOhZtusjCZ/dw5NaO8d2/D7AXvN3ky\nvPsu3dtesDpj+8knapZyz57qe2sD2/R050wc8zhLlqiVJSZOdPdIbNOwocrgHj6sgtkzZ1SD/q5d\nYelSuw7preUIyclq7LYGtnPmwNixqpTh2DH1mu/X9QK99O2kd7qcoqI6krEF9Z/5tdfg7rvxLa28\ndrIjAt2YGHWRYbyi719/wcUXV/88CWzLHL37JXZdeh/NOjcHVDAw4PVRNGpp3pXds/X58D46nVhF\n0toEdw+lXtl503QOdhhB5zss/49r9/1/6LZlLke+U9GDXqqzbuAzhJ4+Qo9dn+Mb4Nz7s6GtQrnw\nyZd0ePshEtdYURBZByUkqCRagwZV12gVF8Ps2RXZSJMHbrwRevVSs6Zqe4/NU3TuDIMGcdH6j0hI\nUG27qlNQoO4+Pvdcxba2bdWHeE3LydeLjO3KlTBpkqqvbdPG3aOpncaN4d134ZtvVEZ33TqbD+Gt\nga0hY9usmW2lCCtXqlr+20fmEjT4UvbktsGnTy8OBvchI69h3crYglp4pEULhv39psWHa/s2GRSk\nXobGFxfbt6sL6+pIYAusv30OFx36jh4Ln3T3UGqtcUxjdg98gKR7XnD3UOqNP1/8iY67vqbLN7Oq\n3CeiVyR7R8/gwp0PkLwxke3Nr6LZnt+I3Pa9y7ptdLmzL3tvnkbuiNFWdWmoaxISVD3ozTerz2pL\nvvtO3aGv9Mb57LNqaaz33/fsZXPtMW0a/v95jQ7RuZU6IxQVqVupv5St0LxggZpoZjxvrmFDVWtb\nNo+kSnU2Y/vbb6p12i23qNl0339fkc6uC/r3h/nz1WRDG+/LG5ZF9Tb2ZGx1XS3tvHo1jEx4k80n\nYtj+2mr4+mte7fMlZ85QtzK2UN5h5cqdb9Ak7aBTTmE+gUwytjUoKSxh7cWPE7vkTXJ/+p2wDuHu\nHpJDXPzVZNod+5Vds62YJSNqVHCugI2tb2dt/PRKj53ceoJWz99F2lufl2f7qzJo4f34lhQSOqgb\nOX2HclHGxhqf42hXfDWJs01bs+Xyp1x6XncrKFAZw5gYFdhWVWf77rsWsrXffadqyT77rO4FtaCC\nsIED+VfQh5XqbOfPV2UGd98NTz2l1naYNq3yIawpR6iTGdt581RHgdJSFdj+8Yf3toGrzrXXqoll\n48fXnJo34u0ZW1sC2yNH1N2g1gEnGZf+NhlT3uCKu9pCz574REdy5gx1L2ML0Lo1P/R9niGfT7Tp\ntWEt48D2wgW1IEzXrtU/pw6+S1vn9N50dkT9g9CEHTTZv4XWwzu4e0gOExIVwrGH3yDw8Ycpzi92\n93C82vlT59nT5nr8887SY/275W3gQPU8zhg+ln1XPkavxwbXeCzfAF/CVn/N6ZV/EP/zMyadE1xF\n89HovOkT2uxbwean7Kub80bHj6s3SD8/tSrk+fOwahWcPKkWGUhMVG1HDx9WgW+5w4fh3nvhyy/r\ndp+q55/n1uOvc3jnhfJN+fnw4ouqNGPnTjh0SC15O3Bg5adbG9jWqYztvHkqU7tmjVq6bexYiItz\n96ic58UX1Wpq48dbPSPMWwPb5GTbSxE2bVKtAZk6Fe2++7jv5TY0aKAeCw+nbmZsy/ze42H1xezZ\n5du6H19O+z++qHWxrfFraOdOFdTWdHFQLwPb7a/9SnGP3pzv2IduKb/QtF2Yu4fkcAPeHkNuUBgb\n75hd887CoiPf7+N4+yvJbdaKPonfsuviuzk4/qXyxzcNeIKCoFCuWDnZ6mNGXRpL2+vMu/27Vmhc\nE3I+Wkz7Nx+sN7XYCQmqFhTU3bOnn4ZHH1W3tGJiYNAg1dpz1iyjN80TJ9Ss8ZdfVrdj67IePcjs\nOoiY5RXvF3PnQo8e6p/erJlKXP/wg+WnWxPY1pnFGXQd3nlHBbWrV6sVKuoDf3/VB695cxVdzK75\ns8Uw+cfbpKTYUIqQkQGzZxM4910eyXtN1e0884zJLobAtk5mbAFd82HNuI9h+nT1Zvvkk4zd9Cg9\nVr0JgwfDnj12H7t3b/j0U3VNZU0ZAtTDwHb7a78S88wdpL6ykPhNs/AProOvMlRmLmTBe3Rd9gK7\nPtjg7uF4vG3PLedgg16s73w/Gx/6nA3txhN6UzwZV45h0P65+AX50f2zyXTfu5jkDcdZf9uHxBxY\nRcc/FuHj533/jbpO6Me+G6eSM2IshecLTR4rLS7lQvqFKp7puUpLVYnjt99WThIYB7agyg3271f9\nKnNy/r+9+w6Pqsz+AP59k1BDSQIpQEIJSAglFIMIgRCaFJEiLFIUC+jq0gSUhZUurrsKu9gWFOSH\nBRVQKaIUKSEIUhJKaKEFCDW0EAiQfn5/nBnSZpKZ5M7MzXA+z5MH5ubeO+/M3Nw599zzvi/HsAcP\ncjIKAEdh3bpxR6DS1ru9mB68PQM9j36IC3su4/59judn5yvVN1eJUb9+0ZM0OEXGNjWV6zKWLAGi\noh6doNaoShXgP//huuL584Gvvy509dKYsc3O5js5NWsWEdheu8b1OQ0bAn/8AcSdQEO3eC5Er1Il\nz6rOnrEFgCTfRsCECXw1HBuL9/pHY/WUPTx2YqdOwNNPAz/+yHVhVhgxghMP3bvzYVdUxzHgEQts\nU66mwPudV5Ewaylavd3F0c2xuQZ9GuPs9KXwGzMQkZ1nIyu9FI6UbQdx3x9A4Huv4NboaaBGwXBb\ntRKZAfVQ9twpRKwe/3D4rmpB1RHbfhSSeg5Fo+Uz4fbbL6hax8PBrS++8J/GIaVyTUQ3Hv5wGun7\nN+5jb+2BUL7eiOz2XqnqZLZ5M3+//OMfQK9eeQMtY8exIiUk8Bd3+/bAoEE8w84jIrBPU2xrPBoX\nOwxBTZ9MtG1r2ZcIUHTGNi2Ny0Fq1NCkqY6xYwfQoQMX+u3aVfpHPSiJpk15WLOJE7lGBeDM5Zgx\nfEUUEwNkZ6OWbyZuXbxvkzFObeXGDaByZa6XNZYi5Gl/VhZ3Im3SBHjwADh0CHcWLMOIB5/C44eF\nfEGcj7NnbB+OfvDWW3zRt349UspV44lA3niD//ife45HlGnenMdMtmLf8+fznaPVqy3L2IKINPnh\nXelbZPOxtCNwuKObYXdXYi7Rfo9OtMenN2U8yHB0c3TlSswluuTqT7smrLRo/dvnb1N8mYZ04L/b\nbNswO0lJTKGox16m+DINKfqfG+mw+xO0o97zFL/hBO3260PxZRrS4cW7NXu+Bw+IvvlGs93l8cwz\nRIsXE6WnE02bRhQWlvO7fv2IfvzRxEYXLxK98AJRu3ZEdeoQVatG9MorRBs3EmVn26ahepaZSdnd\nutHtUVMoOdnyzZKSiNzd+S07f55o2DCiO3dyfv/RR0S9emnfXJvLyiLavJmoa1eievWIlix5NI8L\ncz77jKhFC6L164lq1SIaPZpo7FiioCAipYhcXCgNZejeW9Md3VKL7d9PFBKS89jdPdexfPEiUWgo\nUXg40ZEjD9f5/Xei9u3N73P9eqJu3YjWrSulfwdFGD2a6OOP8y4bOZLoiy9MrLx4MZG3N9HatVY9\nR3Y20c8/E2Vm8mNDzGk6HjX3C2t/9BjYpt9Lp+vHrtH1Y9co5t+/0xWXGnTr9E1HN8sh0u+lU7RX\nV4ps+aajm+JwB/67jaIavETRXl3pqosfbev2nqOb5HA7R39Ht1GVtoVPp+ysnC/uP9/+ia4pb9rx\n168LbJN8IZliF+7Ms35R5s7l77ukJE2a/VB8PFH16kT37vHj1FSiqlWJEhP58ZNN7tCVEe8QPfEE\nR7jZ2UQxMUT+/kRTpxJFRRGdOcNR8aMuMZHflxUrrNqsWjWio0eJgoOJmjYlGjGClycnE/n4EB06\nZIO22kpqKtGcORzMNmtGtGiRHBumZGcT9e9P5OvLF4O5GSKQjsGJlOofSPTllw5ooPXWriXq2TPn\ncd26fGqg+/c5qJ0xo8DFzezZRG+/bX6fe/cStWrFgVm/fjZptkONHs0Xr7mZDWyJiP78k88x9epx\nxD9uHNGaNUS3b1v8nIUFtqV8TsiC7l27h8MthyMgcR+8s65CqSogKPgrV5yd/AXaOGFHMUuUqVgG\n9aNXICnoSUQ9H4zwb19zdJPsLu1OGv7sMhVB+79D8oB/gJoPxr2WddCxR5Cjm+Zw7T4ZgswP/4KI\nfCM1PPnBszgdFoSAgX2xY+s2ZNUOBIhQ4VgMgq9uhZ8qjx0730P4168W+RzJyTy4f716wO7dQI8e\n2rV/wQKeurxi7G7g119RLjIScZlX8KBHM1Cn+vj52HfwatqVa+LefZcbcvYssHAhTyEqcvj48D2/\n/v35lvKcORZNH9ygAdfBDR7MQ4K1aMG7iYnhzzokxA5tL44NG/jW8sKF3BU+NTXnmFixgu99OsuE\nHFpTimdZS0srUFcKV550xquRD3pH/4aVfwvH7sM10eO/Gv7hayQ2lutfH2+ahvJrVqOLiw+Q1ALw\n9ORyhOuEwBmvcT3TjBkFjoddu4DXCvlKzV1j69SlCLkUWn7y5JNcH3b+PNcwHTzIYy0OG8azv0ya\nVLL2kEbFL0op0mpfxZWVnoXoOs8io6IH6n41C76tajlt57DiOrvxJCr17ICjbUei0Sej4NeqpqOb\nZHMXos7izLxVqLVxCW55NkD9rYvsPn5saXfr1E3EvrGAv/SJ4Na4IZpN7Ysbh6+gap9w3Fm3o8jR\nHqZN444kNWvyd17+jknm3L7N57x69Xi4qccfz9uJ6f59HmXp6JRv4TN3Evcgi4jAL/tr4djKoxjd\n+Rj6fP40tiSH8gZZWTxFaMOGHH0J065f5zFa79/nAM/Pr9DVX32VSw6//po/n127eOi0jAyeTr52\nbTu12xrnzvG4s/3788QKS5bwiAeVKwPLljlnFGJnaWncUTNh2Q6EzeuPaj5uXKPbsyfPcV21qqOb\niKFDCFW3/IzPKk3C+awAuGWnIyApFvD2xs4HLVE3uCJqJR/jIv6KeSfUyc7mWtxjx8z/iSQnc0e6\nBQv4Ourbb+3wouxo7Fi+sB07NmfZyJEcv44cacWOLl8GwsJ4QpwiNlRKgYhMX3GaS+Va+wMdlCJE\nthhHMZ6dKe1umqObomvnt52hyGaj6JbypJ0Bg2j70IV0avURs7eUb568QduDRtKVmEt2bmnJ3Ii7\nTrv9+tA15U3bG71K0f/caNVtc2GZ7UMX0rEKLSk1OdXsOlevEnl5EZ07R/Trr0Rduli+/yVLiJo3\nJxo8mCgggMv68v9+TugqIj8/vhducPMmUeXKRFu28B1EUQxZWXzrNSCAKDq60FXT0wuWn/7rX0Tv\nvmu75pVIaiofGPPm8eNNm7ie4rnniDKkL4LWsrKIyrhlU9qZC3wSGDqUyNOTaPz4grVJ16/brZY5\nK4toQYXxdLpiM/rqhd/ppZe4DJQyM4ni4uizDt/Tgb4ziBISTG6fnMx1uIXJziZycyNauJDopZc0\nfwkON2YM0fz5eZeNGMEVPFY7cYLP5atWFboanKkUITkhGWdaDEDTpCgAQDZccMfFA/dcq8JfuaL6\nyV0oW8lJx9PQSO2IQNSO/RRJZ2Yja/bPcNn5B8qt+BdOu1bCtRFT0GbeoIeTByRExiPrqZ7wdnPH\nuWfGwO9S6RjU/+BH2+Ez8Xk8aDUEVU+tRLgcEzbT4ZvXsMd/A07V7Ihb/s2Q7e0HdfsWKiaehfu9\n68hwK4+UrArYWU2hzssZqFHJC6N2L0Bmprcld7ixfj3w5ptcarBmDWdv//Y3wy8zM3Fz3reYeGES\nsHU9z/dq4OXFkzF8/nneob6EFVxceGzKZs24nmDMGE7N1KjBP35+nHFTymRy8++WD/FsX+fOcVao\ndm1g/Hhe1q0bl6e4uzvnDHMO5uICePsoXCvrD/9e/jx0yYULwHvvcQZ34UK+gzJzJk95t2gRD61m\nY/Hf7ES/9OXIOHAEEzp5wteXO/DD1RUICsKZ1kG45we0CDC9fXo6z7ZdGKW4HOHqVecc7svqUoTC\nNGwI/PILZ/S9vIDwcKt3Uar+eq/FXsXVoI646x+M7KQ7wN0U0M0kZO/bj4zvVqL6yV2levgle/Os\n74UOX41E+9NL4Z8Wj+SpH8J92ee47l4Xe32fwfaWb6Jsl/ZI6DcW9S7vgs+No9j991WObrZZ149e\nQ9TQhTjo0RE1JgzGpelfIGLvB3KhY2PKRSEkdhnuT5gKPB5q+EJoBPrrG8j++FNgznuo8M5EBH46\nAXjnHZRtFIjNGeGI21L0yO2ZmTyMV/fu/LhrV2DvXuB2EgGff46s+o+hTdxS0C+/mhwHpm9frjqQ\nwLaEBgzgyQhu3eJb9jNnAn36cGBYsyYwdy4Pg0XEBYumBhN2tMxMLi9o3x5o3ZoD8iVL8n4rV64s\nQa0N+flxcPdQQAAHtN98w/exmzblwWO3bAEmT863sg2kpsJz0kis7vwJApp54s03uaSgVq2cVby9\nC599LC2t6MAW4MD2ypVHq7ql2KXpoaFcuz1wIJ9PrKTrjG16Sjp29ZiNMhfjQa5uqJ3wB66Ev4yO\nv099OLYoAFTwqvBI1IraknJRCJ3aA5jaA/G/xSF7+3HQ4VO4PORrdJzUFQBwd94i1Bk3BMmjOqNq\nbcfXRQFA4sErOD5yLmoc3Qy/1HNwq90LaaMmwuPv3eFbxYKzjdBExeoV8cTs3pat3KUL9m/3Rvdh\n7YFdGwsd5H7vXo6djOOfurvzRDZHZ65E2Mb/YuPw77DoSFusMnNR37cvZ3stGsNWFC4khAeUzC82\nljuYffghB4XGjOf+/ZYXUtsSERf+zpnDB9KkSZx9dsbUmc4VCGyNOnUCjh7lIm0vQwfvkSP5DsHK\nlbZr0Jw5OO7SBNVf43m033qLh+XNfSFcvXrOUL2mpKdbdigZA1tnPRdpfh3btSuPe9urF1/8lC/P\nb3ZsLH8xFEK3ge3NEzdwoc1AVChfBZkDBgPpGbhe/wVETC44+LHQVmCvRiY7AjUf3QFRnz2Nsm1f\nQeM9/4cq/lVMbG0/J386jIrP9YYKeRbpHy2E+/DWaFdet4e0yCXl9bfxw+deeK1dO74lPHYsB0Pn\nz3MHjR07gH37gDIdMThsAoCc+4DPdr+HoL+/Baz/FgvntsWgQeafp25dvvhv5NhZjJ1bSAh3Ljt9\nmlM09evzrExhYRxIvvGG49qWkQG8/joH2YsX81WRcBizgS3AMyJUqJDzePp0Hsx/6VK+HV2uHGfZ\n3d21GaViwwbQokV46d4h7OnEi8qXLziZWlHT6lqTsb10yTnPRZqWIuQ2aBDfCfrPf/hJ3AwdDwcN\nAlaZv3usaRRw6c8E1Gpb8q6v57eeAbo/hduhgxC+471SOWWps2q1bR4OdHwTd+qG4NScRXjcQRca\n+z/YjIDJQ3Fq1Efo+MkQh7RBFF+7dkD3WSPw2u6OnJlZvBi4c4cDkQ4d+HbxCy8gfuBqTIxrAWQM\n4CG6PD0x8PT72JjRHp2bhiMysshZPbFz56N1+89hGjTI+b+PD7BxI3+WBw5wxODiwl3DH3uMSwFq\n2vguW3Iy38osV44vlCpVsu3ziSIVGtjmV74819q+9howaxZHkElJ/LvgYA5s6tQpXkN27ACGD0fs\n7DWousgP1aqZX7WoUgRrMrbR0Y/WjQJNRsl7+WX+yW+I+e99TSPGCmEtERX8VxyYtxWZqZmgbMLN\nEzeQEBmP7MzsPOvev3Efu8Ytx54a/RDZYRoom8P7B7ceIPXpATj3zFhE/Pm+BLU6U8mvEjqcWIyr\nsz6H79SR2OfdEzHvb3r4+dnDjpeXwH/K87j88U9oJ0FtqdSwIZCSAlyq0ADYupWHWNq6le/VrVwJ\njBuHaw3bY3TqXNDJ0xycGDqYVP5mAb5q8gEmT+b416OIsvqyZWUYUocIDOTPtHFjzuLWrs0pq8WL\nOcv7wQdc9wpw5FDY/V5rJSdzZ7DHHuN6XwlqdcGqwBbgK+AjR7hT3+XLXKpw4wYPQ9e5M3c+M7I0\nRRgTwzXj332HVVfbokuXwlevXl27jG1iolxk24OmGdvMg0eRPWkpyk2fhDtvn4UrZcJVuaCMckcy\n3Ue8ZyiyXd3gcScBfmnnUbZaOzx45jn4Lv8U2yMUIqJmY1/Ym3DzboTwH8cW/YTCYULf6Y7UUSdw\ndvx38Js1EedmpOFCw65w69IR5f2rI+1qEpSbK9q83y9PPXRJUDZhe/g01NvzA1LWbUfznjKxQmml\nFH9nTZsGJCa6YN++rhg/nudPMI6UsGkTl96V9fXkoRAGDgRGjAAmT8aT6f6YOpU7TgsdCwrilJ5+\nKQAAD1hJREFUn/zi47lEYNkyjgpOnOBOh8uXc0BaEikpXJfXpg3w8cdyVaMjfn7A9u0l3Im7O49k\nQcTB7auvAuvWcTr0f//j4VPMWbMm5w5R167YPJMrHgpTVCmCNRnbjAznzdjmv65wZN9RTQNbnxA/\n+GyYDGAyru6/jHJVy8Ozvhc8AFw/koisFfsAABRSG/RkXYQaajSvv9Ub5VqFY3etowi4fhjV4qM1\nC4aE7ZT3KI8O//cK6MuXcfzbGGT/FAXXFd9Dpd6BqugJ3+uHEXUqAR1/Hlfi50q7k4bokFdQ7WY8\n3GP/lAkWnMCLL/KoLi++CLz/PjBxIvDzzzxEVFoaf/fkudvUsSNw6hQAoM8R/kLq29cxbRclFBjI\npQq//MIjEYSFAXv2cCZt0ybrJ87IyOAhvOLigHnzOEv80UcS1OqM1RnbwkyYwDW5Bw/ySaNWLT4h\n3LjBvcAAnj3h7l0uc1q6lMf+++03oHVrpKTwpu3bF/40Hh48R4m5ANaS4b4APCx3cMaMrbk/M0f9\n+dmsp03+UQq8m/rCu6npXtPeTXyQEfU7Kjw1FOnfrHB4pyRhHeWi0Hh4KBoPDwUw4eHyhMh4NO7c\nFrELQhHyRlix93/r1E1cCO0Pl8o+aHB+Kyp4VSh6I6F7Awbknc120ybOwH71Fcc6ISEo2DHMcKZs\n1oxjXG+5vim9lOIhw4w6dOCpbXv35uC0enUOXBISuGNaRgb3BqxRAzh0iMscDh3ioCUtjestGzXi\n3tRTpsiwXTrk65s3sCXimPTddy0LDo2SkgBPTxTsmPjHHzw24PLlPIftxYs5nc6aNOHe9Iba7gMH\neFG+icQKMI5Be+OG6bLwtDTLM7aA82Zs9UQ3XchrtglAzeQdjm6G0FDtiEDsm74E/qOfw7WwaPiE\nFD4lZ37nt57B2Q9/RODmz5HUciDCd/1Laq6dmFLcT6SwOddzk7FpndBf/sJ1lMuXc/Ry/z7X5jZo\nwKmubdu4TrdpU56l4/HHOcKpWFGys6VA/ozt9es8Slzr1vzRWyI+nqdqTUw08ZEHBPBczvv38/8D\nArgTmgkxMSaHvjbJWI5gKrCVjC3T07DVuglshXNqPfNpRP7xOpq1aIqoxoPg8behcKtUHvfOXUeV\noBoIei7nlmPq7VTseXUx3KJ3o+alfaiUeRsuwc/i1odLEPFmhONehBDCfoYP5x/hdCpX5uqAlBTu\nz2csrV682PLAdvduDjITEzlQLsDDg2tvixAdbdFqAPi66vBhHn0sP8nYmh/uy1HXmpL+EjYXsXkq\nHuyIQbZfTZSbOBour78K9fF8eA156uFMZqm3U3H4sf5w3/YLsjt1Qcb3P8Ir9TLCjy5ACwlqhRCi\n1FOKg9HERH4cF8cBbXQ0D2FtiX37crYtCWsytn368OAapljaeax6df7XWTO2eiIZW2EX/mF14L95\nKoCpD5cdX7YfgcN74Y+bySi/+ntkVPTEEye/hZtMsiCEEE7JWI5Qvz5nbJs352zm0qXAjBlFb79v\nH28bFwdERBSvDXfvcul248aWrd+7N89g+OBB3jkkAMuH+zJOqOaMGVtAX6UIkrEVDhM8rBVur/gd\nQUsmId3dS4JaIYRwcrnrbE+c4P5+I0YAS5YAWVmFb5uZyf0Fhw4Fjh8vfhsOHOAOqJZmT729gZYt\ngc2bC/7O0oytmxv3YXPGwNZmM48VkwS2wqEaDmiGcgmn8eSZZRLUCiGEk8sd2MbF8TDHLVvyrfot\nWwrf9tgxnryuTZuSlSJER/NU29bo1890OYKlGVuAM9OPUimC1NiKR1YV/yoy2oEQQjwCjIFtejpP\nHFa/Pi8fPhxYsaLwbffu5REUGjUqWWAbE1O8wHbt2pzJ8owszdgCHNg6Y8YWkFIEIYQQQjyCjIHt\nmTM8kpsx0AsN5dlzC7NvHwe2desC164B9+4Vrw3R0ZZ3HDOqW5ezxbt25V1uTcb29dd5pDpnI6UI\nQgghhHgkGQNbYxmCUXAwlxoUFhAZA1tXV+Cxx4CTJ61//jt3eCjk4GDrt+3XD1i1Ku8yazK2r7xi\neixcZyWlCEIIIYRwasbA9sSJvIGtlxfg7s5BpympqRwMG2dbbtSoeB3I9u/nWQ3ditGlo3t3ICoq\n7zJLJ2gQ9iOBrRBCCCHswlxgC/DwW8eOmd7u4EEOZo0TiRW3zrY49bVGHh4Fyx8snaDB2eXPtEsp\nghBCCCGcnq8vT9Bw/DgHp7kFB5vPwho7jhkVJ7BNTOTxcsPCrNvOqHx5DmRzk4yt+ZIDXZciKKV6\nKKXilFInlVJ/t3WjhBBCCOF8ypXj6XQPHLAuY7trF/DEEzmPg4OtC2xPngTatQMGDAAGDbK+3QAH\ntqmpeZdJxlZ/igxslVIuAD4F0B1AEwBDlFKNCt9KCCGEEKIgPz+gYkWe+CA3c4HtjRvAxo1A3745\nyxo2BE6dKnpSBwC4eBHo2BGYMgWYObP4mURTga1kbFlpK0V4AsApIjpPRBkAfgDQt4hthBBCCCEK\n8PPjUoL8AWbjxsDRowWDoi+/5BEJqlfPWebuDvj4AOfOFf18kZFAhw7AyJEla7dkbE3TWymCJf0C\nawG4kOvxRXCwK4QQQghhFT8/08Ggtzfg4sJj1Pr68rLMTOB//ys4zBbAwfHhw8DZs8CffwKTJpnO\nnsbGAs2bl7zdZctyIEuUE7RZM9yXsA9N5zBVEbnC87oA6mm5dyFEaUczdDQ9jRDCIerVK1iGAHCw\naCxHMAa269YBtWoBrVoVXL9JE2DgQJ5sITOTg9pJkwqud+gQMGZMydvt4sJT4uYuP7BmggZnZutS\nhMjISERGRlq0riWB7SUAtXM99jcsK4Ai5UtLCCGEEOa9+6753xkD206d+PEnn5gPSqdPByZO5MD3\n1CmgbVvgxRdzgmKjQ4e0ydgCOeUIxmBWMrb2KUWIiIhARETEw8ezZs0yu64lNbb7ADRQStVRSpUF\nMBjA2hK2UQghhBCPIBcX/jEldweymBj+/4ABptf18OCgFuCZyF56CXjnnbzrJCZy8Onvr0nTC9TZ\nSucx/SkysCWiLACjAWwCcBTAD0RUjPk+hBBCCCHMMwa2ycnAkCHA3LmWZ0SnTePShQMHcpbFxvJM\nY1plD/MHttJ5jDlyFIT8LKqxJaINAIKKXFEIIYQQopiCgzmwHTEC6NwZGDbM8m2rVuXyhFmzgNWr\neZmWZQiAZGxNMXXRkLuDnb3JzGNCCCGE0IWaNTlwPHsWmD/f+u2HDQO2bQNu3+bHtg5sJWOrPxLY\nCiGEEEIXlAJmzABWruQg0lpVqwJdukjG1t70VIogga0QQgghdGPCBCAwsPjbDx4MfP89B52nTnHd\nrlYkY1uQuVIER5HAVgghhBBO4+mngT17gKgoHjO3QgXt9i0ZW8tJja0QQgghRAm5uwO9enFHMi3L\nEADJ2JYGEtgKIYQQwqkMHszT7No6sJWMLbP1zGPWkMBWCCGEEE6le3fuSBYSou1+JWNbkD1mHrOG\nRePYCiGEEEKUFuXKAb/+CoSGarvf3IFtVhZnJl1dtX0OUTIS2AohhBDC6YSFab/P3IGtsQzBUZlJ\nPZFSBCGEEEKIUiZ3YCtlCExvpQgS2AohhBBCWMBUxlboiwS2QgghhBAWkIytaVKKIIQQQghRykjG\ntiApRRBCCCGEKIUkY6t/EthqJDIy0tFNEDomx4cwRY4LYYocF/rlyIytno8LKUVwQno+4ITjyfEh\nTJHjQpgix4V+OTJjq9fjQkoRNKbXD9oR9PJe6KEdemiDHunhfdFDGwD9tEMP9PBe6KENgH7aoQd6\neC/00AYgpx1SY6ufz8QcCWydiF7eCz20Qw9t0CM9vC96aAOgn3bogR7eCz20AdBPO/RAD++FHtoA\nmA9sH8UaW1OfiSNLD/JTpFFrlFI6ellCCCGEEMJZEZHJYgfNAlshhBBCCCEcqdSXIgghhBBCCAFI\nYCuEEEIIIZyEBLZmKKX8lVJblVJHlVKHlVJjDcs9lVKblFInlFIblVJVDcu9DOvfVUp9nG9fc5RS\nCUqpO454LUJ7Wh0fSqkKSql1Sqnjhv3801GvSZScxueN9UqpA0qpI0qpxUopN0e8JlFyWh4Xufa5\nVikVa8/XIbSl8flim1IqznDO2K+Uqu6I16QHEtialwlgAhE1AdAWwCilVCMAkwFsJqIgAFsBTDGs\nnwpgKoCJJva1FkBr2zdZ2JGWx8eHRBQMoCWA9kqp7jZvvbAVLY+LvxBRSyJqCsADwHM2b72wFS2P\nCyil+gOQREnpp+lxAWCI4ZzRiohu2LjtuiWBrRlEdJWIDhr+nwLgOAB/AH0BfGVY7SsA/Qzr3Cei\nXQDSTOxrLxEl2qXhwi60Oj6I6AERbTf8PxPAfsN+RCmk8XkjBQCUUmUAlAVw0+YvQNiElseFUsod\nwHgAc+zQdGFDWh4XBhLTQd4Eiyil6gJoAWA3AF9jkEpEVwH4OK5lQg+0Oj6UUh4AngGwRftWCnvT\n4rhQSm0AcBXAAyLaYJuWCnvS4Lh4F8BcAA9s1EThABp9jyw1lCFMtUkjSwkJbIuglKoE4EcA4wxX\nVPnHR5Px0h5hWh0fSilXAN8BmE9E5zRtpLA7rY4LIuoBoAaAckqp4dq2UthbSY8LpVRzAPWJaC0A\nZfgRpZxG54uhRNQMQAcAHZRSz2vczFJDAttCGDpr/AjgGyJaY1icqJTyNfzeD8A1R7VPOJbGx8cX\nAE4Q0Sfat1TYk9bnDSJKB/ATpE6/VNPouGgL4HGlVDyAHQAaKqW22qrNwva0Ol8Q0RXDv/fASZIn\nbNNi/ZPAtnBLABwjoo9yLVsL4CXD/18EsCb/RjB/FS1X185Fk+NDKTUHQBUiGm+LRgq7K/FxoZRy\nN3yhGb/4ngZw0CatFfZS4uOCiBYSkT8RBQJoD74Y7myj9gr70OJ84aqUqmb4fxkAvQEcsUlrSwGZ\necwMpVQYgCgAh8G3AQjAPwDsBbACQACA8wAGEdFtwzZnAVQGd/S4DeApIopTSv0bwFDwLcXLABYT\n0Wz7viKhJa2ODwB3AVwAdxpIN+znUyJaYs/XI7Sh4XFxC8A6wzIFYBOASSQn7FJJy++TXPusA+AX\nIgqx40sRGtLwfJFg2I8bAFcAm8GjLTyS5wsJbIUQQgghhFOQUgQhhBBCCOEUJLAVQgghhBBOQQJb\nIYQQQgjhFCSwFUIIIYQQTkECWyGEEEII4RQksBVCCCGEEE5BAlshhBBCCOEUJLAVQgghhBBO4f8B\nYanxRHquISgAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f69d4a80ef0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "(m, s) = fit(sk.linear_model.RidgeCV(normalize=True, alphas=ALPHAS),\n",
    "             104, ts_all, truth)\n",
    "s.head(22)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Ridge, normalized, manual 𝛼\n",
    "\n",
    "* Forecast: bad\n",
    "* Articles: unknown"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "intercept_                                       1.599466\n",
       "en+Xavier_Saelens                          1904554.164497\n",
       "en+Global_spread_of_H5N1_in_2004           1338251.017424\n",
       "en+Human_metapneumovirus                   1212483.759813\n",
       "en+Endemic_%28epidemiology%29              1171451.001843\n",
       "en+Rapid_influenza_diagnostic_test         1155536.918201\n",
       "en+James_Robins                             917746.730376\n",
       "en+Influenza_virus_nucleoprotein            896271.247958\n",
       "en+Host_%28biology%29                      -841481.337487\n",
       "en+Walter_Fiers                             782589.307085\n",
       "en+Immunity_%28medical%29                   717234.399001\n",
       "en+Central_nervous_system_viral_disease    -642276.132087\n",
       "en+Sense_%28molecular_biology%29            623367.485945\n",
       "en+Pulmonary_talcosis                      -554534.123978\n",
       "en+Influenzavirus_C                         529986.956986\n",
       "en+Follicular_dendritic_cell_sarcoma       -509944.814031\n",
       "en+National_Influenza_Centers               486129.862930\n",
       "en+Global_spread_of_H5N1_in_2005            476289.353924\n",
       "en+Herpesviral_meningitis                  -471202.059991\n",
       "en+Nasal_septal_hematoma                   -458300.426929\n",
       "en+Influenza_Genome_Sequencing_Project      449636.615534\n",
       "dtype: float64"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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WP2Pr52e4FOHECeDLL3PbgRnijHIEkwJbRVGCATwL4Bf7DqeIi4gAGjTAnDnA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\nEVFIYGBLRERERCGBgS0RERERhYT/BwTpLR8HaqrcAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f69d4c50240>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "(m, s) = fit(sk.linear_model.Ridge(normalize=True, alpha=1),\n",
    "             104, ts_all, truth)\n",
    "s.head(21)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Ridge, non-normalized, auto 𝛼\n",
    "\n",
    "* Forecast: medium\n",
    "* Articles: unknown"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "alpha_                                     1.000000e-15\n",
       "intercept_                                 1.267609e+00\n",
       "en+Human_respiratory_syncytial_virus       6.813026e+04\n",
       "en+Influenza_A_virus                       5.416390e+04\n",
       "en+Influenzavirus_B                        4.538250e+04\n",
       "en+Influenza                               4.356708e+04\n",
       "en+Diarrhea                               -3.969015e+04\n",
       "en+Fever                                   3.935326e+04\n",
       "en+Pharyngitis                             3.513586e+04\n",
       "en+PubMed                                 -3.434298e+04\n",
       "en+Oseltamivir                             3.411818e+04\n",
       "en+Nasal_septum_deviation                 -3.231839e+04\n",
       "en+Influenza_A_virus_subtype_H3N2         -3.034732e+04\n",
       "en+Croup                                   3.003976e+04\n",
       "en+Epithelium                              2.998333e+04\n",
       "en+Proton                                  2.824782e+04\n",
       "en+Guillain%E2%80%93Barr%C3%A9_syndrome   -2.742327e+04\n",
       "en+Herpes_simplex_virus                   -2.742055e+04\n",
       "en+Influenza_A_virus_subtype_H1N1          2.680232e+04\n",
       "en+History_of_Rome                         2.661390e+04\n",
       "en+Recession                              -2.395375e+04\n",
       "en+World_Health_Organization               2.324835e+04\n",
       "dtype: float64"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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rHn20IgC4Y98RJY2aACdOVLuPK7ZMbxyjQuHgr3liK8kkxDp3Qtwh7rNlzKLd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\nhKgU/gsyxkxFbNN0xwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f69d4a90be0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "(m, s) = fit(sk.linear_model.RidgeCV(normalize=False, alphas=ALPHAS),\n",
    "             104, ts_all, truth)\n",
    "s.head(22)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Ridge, non-normalized, manual 𝛼\n",
    "\n",
    "* Forecast: medium\n",
    "* Articles: unknown"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "intercept_                                  1.388426\n",
       "en+Influenza                            34714.830941\n",
       "en+Human_respiratory_syncytial_virus    22418.298859\n",
       "en+Influenza_A_virus                    20354.930621\n",
       "en+Bronchitis                           20178.735713\n",
       "en+Gross_domestic_product               17930.694325\n",
       "en+Influenzavirus_B                     15062.582284\n",
       "en+Fever                                14391.551059\n",
       "en+Recession                           -12727.978857\n",
       "en+Influenza_A_virus_subtype_H1N1       11713.809110\n",
       "en+Oseltamivir                          11003.369019\n",
       "en+Pneumonia                            10598.833517\n",
       "en+Evolution                            10347.530549\n",
       "en+Norovirus                             9835.378495\n",
       "en+Pancreatitis                         -9691.198591\n",
       "en+Human_papillomavirus                  9657.938890\n",
       "en+Pharyngitis                           9340.017644\n",
       "en+Diarrhea                             -9075.101872\n",
       "en+Liver                                -9071.011437\n",
       "en+Astrology                             8988.893600\n",
       "en+United_States_dollar                 -8910.957416\n",
       "dtype: float64"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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yHtayJfDii8CTTwKvvgqsPysZWyHKtXw9bEtUigDwuvAXLwKpqRg/ns93jx83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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f69d493a0b8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "(m, s) = fit(sk.linear_model.Ridge(normalize=False, alpha=1e-9),\n",
    "             104, ts_all, truth)\n",
    "s.head(21)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Lasso"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Lasso, normalized, positive, auto 𝛼\n",
    "\n",
    "* Forecast: good\n",
    "* Articles: medium?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "alpha_                                       0.005623\n",
       "intercept_                                   0.022746\n",
       "en+Influenzavirus_B                     306033.201426\n",
       "en+Oseltamivir                          250061.452733\n",
       "en+Astrovirus                           192171.192388\n",
       "en+Human_respiratory_syncytial_virus     96977.479536\n",
       "en+Bronchiolitis                         60478.064236\n",
       "en+Croup                                  4355.457743\n",
       "en+Laryngitis                             1306.756835\n",
       "en+Frank_Macfarlane_Burnet                   0.000000\n",
       "en+Ghent_University                          0.000000\n",
       "en+Pneumomediastinum                         0.000000\n",
       "en+2009_flu_pandemic                         0.000000\n",
       "en+Hemagglutinin                             0.000000\n",
       "en+Hemopneumothorax                          0.000000\n",
       "en+Wendell_Meredith_Stanley                  0.000000\n",
       "en+Specialty_%28medicine%29                  0.000000\n",
       "en+Pneumonitis                               0.000000\n",
       "en+Pathogenesis                              0.000000\n",
       "en+Restrictive_lung_disease                  0.000000\n",
       "en+Influenza_A_virus_subtype_H1N1            0.000000\n",
       "en+Recession                                 0.000000\n",
       "dtype: float64"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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m1zuxtCIIYX02bNiAmjVr4s8//0RCQgKGDh0KADh69CiuXbuG/fv3A9C8XG2vXr0wc+ZM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\nJLYAAADICyS2AAAAyAv/AwsKM3uMHMTgAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f69d48526a0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "(m, s) = fit(sk.linear_model.LassoCV(normalize=True, positive=True,\n",
    "                                     alphas=ALPHAS, max_iter=20000),\n",
    "             104, ts_all, truth)\n",
    "s.head(22)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Lasso, normalized, positive, manual 𝛼\n",
    "\n",
    "* Forecast: good\n",
    "* Articles: medium?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "intercept_                                     -1.239008\n",
       "en+Patrick_Laidlaw                        6218331.612971\n",
       "en+Immunity_%28medical%29                 2368163.717335\n",
       "en+Richard_Shope                          1595053.552230\n",
       "en+Influenza_A_virus_subtype_H3N8         1363544.068307\n",
       "en+Walter_Fiers                            735441.672765\n",
       "en+Influenzavirus_B                        392666.508779\n",
       "en+2007_Bernard_Matthews_H5N1_outbreak     300601.594014\n",
       "en+James_Robins                            274639.034074\n",
       "en+Fujian_flu                              191645.573603\n",
       "en+Ramsay_Hunt_syndrome_type_II            139678.482347\n",
       "en+Oseltamivir                             126969.860842\n",
       "en+Human_respiratory_syncytial_virus       113765.026293\n",
       "en+Mumps_virus                             104718.713197\n",
       "en+Equine_influenza                         81605.130950\n",
       "en+Culling                                  70916.621093\n",
       "en+Influenza_treatment                      68769.717018\n",
       "en+Chalicosis                               67811.045436\n",
       "en+Sense_%28molecular_biology%29            66697.206462\n",
       "en+National_Influenza_Centers               63800.439457\n",
       "en+Sore_throat                              42887.780595\n",
       "dtype: float64"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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16yM1NRW7d+9GZmYm5s+fj/T09JzrPTw8cOvWrUK3K2sksRVCCDOKiQFq1AB8faViK0RZ\nNn36dMybNw8uLi7YsmVLoQqss7Mzvv76a0ycOBE1a9aEk5NTvlaFIUOGgIhQo0YNtGrVCkDZrOIq\nhsrsFUWhsv4uQQghdHXoEDBjBtCnD/fYfvqpuSMSwjYpilLmq5nWpqifWfblGrN2qdgKIYQZPXwo\nFVshhDAUSWyFEMKMYmIAV1fAz096bIUQQl9aJbaKolRVFGWToigXFUUJVRSlrbEDE0KIskAqtkII\nYTjazrH9PwB/ENEQRVEcAFQyYkxCCFFmqBNbb28gMhLIyAAcHc0dlRBCWKcSK7aKojgD6EREawCA\niDKJKMHokQkhhC26dQtIS8v5VN2K4OgIeHoCd++aLzQhhLB22rQi1AYQoyjKGkVRTiuKslJRFP32\ndxNCiLJq8mTgjz9yPlVXbAFpRxBCCH1p04rgAKAlgClE9J+iKF8CmA5gtlEjE0IIW/TwIfccZFPP\nsQU4sZUFZEIYh5+fX5mc62rN/Pz8dL6NNoltBIA7RPRf9uebAbyv6cA5c+bkfBwUFISgoCCdAxJC\nCJsWFwfk2Qbz4UNuRQB4MoJUbIUwjlu3bpk7BN1kZQEVKgBLl/KZnjIsODgYwcHBWh2r1QYNiqIc\nAPAiEV1RFGU2gEpE9H6BY2SDBiGEKImrKzByJL9YAXBzA0JDAXd34JtvgJAQYOVKM8cohDC/+/d5\nVenIkcDPP5s7GotiiA0aXgPws6IoZwA8AWCBoYITQogygwiIj8+p2KpUXMB1ceGrpWIrhMhx5w4/\nORw+bO5IrIpWiS0RnSWi1kTUnIgGEdEjYwcmhBA2JzGRTy9mJ7bx8YCTE+CQ3RQmPbZCiBwREUCn\nTkBqqrzj1YHsPCaEEKYSH8//Zye2eSciALlTEaSrSwiBO3eAWrWAjh2laqsDSWyFEMJU4uKA6tVz\nElv1DFs1Z2eu3sbGmik+IYTliIgAataUxFZHktgKIYSpxMUB9epxRktUqGIL8OuYbNIghEBEhFRs\nS0ESWyGEMJW4ON5erEIFICEh36gvNR8fSWyFEOBWhJo1gebNgZs3+flDlEgSWyGEMBV1K4KbGxAd\nnW9zBjWp2AohAORWbB0dgTZtgGPHzB2RVZDEVgghTKVAYqupFUEqtkIIZGXlzrEFpB1BB5LYCiGE\nqcTHF0psNbUiRESYJzwhhIWIigKqVQPKl+fP27QB/vuv+NsIAJLYCiGE6UgrghBCG+pRX2o+PsCD\nB+aLx4pIYiuEEKYSF8dVGGlFEEIURz3qS83DA4iMNF88VkQSWyGEMBUNPbbSiiCEKKRgxdbNjXd0\nycw0X0xWQhJbIYQwFS1aEVxdgaQkICXFPCEKISxAwYqtgwM/d8TEmC8mKyGJrRBCmIo6sXV1BUVH\nIza2cGJrZ8cLoe/dM0+IQggLUDCxBaQdQUuS2AohhKnkmYqgioxGuXK5i57zknYEIWxXWhqwbVsJ\nBxVsRQAksdWSJLZCCGEKRPlaEVSR0YX6a9VkMoIQtuvSJeDNN0s4SFPF1tNTElstSGIrhBCmkJIC\nKApvp+vmBruH0fDx0XyoTEYQwnalpPA6sCKpN2co+AQhFVutSGIrhBCmoK7WAkDlyiAVoY7nY42H\nSmIrhO1KTuYFomlpRRxQcHMGNUlstSKJrRBCmELexFZRkFzZDfVdNK9wrllTemyFsFXJyfx/kVXb\nO3cKtyEAkthqSRJbIYQwhbyJLYBHjm6oXSVa46FSsRXCdqlH+RWZ2EZEFF44BnBiK7uPlUgSWyGE\nMAX1RIRsMYobfCtKYitEWVNixTYionB/LSAVWy1JYiuEEKZQoGL7IMsNnvaaE1tvby7MZGWZKjgh\nhKmUmNhGRgJeXoUvl6kIWpHEVgghTCEujheEZItIdYUraU5sy5XjHDgqylTBCSFMpcRWhMhIwN29\n8OXqbXXlHW+xJLEVQghTyFOxzcgAwlPc4JymObEFpB1BCFulVcXWw6Pw5Y6OQNWqJcwKE5LYCiGE\nKeRJbB88ANKceZZtUWQyghC2KTm5hPw0KkpzxRaQPlstSGIrhBCmkGfxWEQE+LRitFRshShrkpN5\n6IHOFVtAElstOJg7ACGEKBPyVGwjIgBH75IT23/+4UHuERHAvHn5WnSFEFYqJaWYxJao5IqtjPwq\nllRshRDCFAokthX9PbgkS6Tx8K5d+f/oaE5wT540VaBCCGMqtmKblMRbb1epovnGMhmhRJLYCiGE\nKeSZihARAZRvFADY2QFnz2o8vEMHYNs2YPFiICgIuHzZhLEK0/vzTyAx0dxRCBMoNrGNiiq6DQGQ\nVgQtSGJrLps3AwcO5L9s40bg2DHzxCOEMK4CFduavnbACy8AP/9c4k3r1weuXDF2gMKs3n0XWLPG\n3FEIE1C3IsRo2lG7qFFfapLYlkgSW3Mg4iexQYOAjz7id+njxwMTJgBLl5o7OiGEMRRMbGuCE9v1\n63PnUqamAm+9BaSl5btpgwaS2Nq8mBjghx/MHYUwgeRk7qGPjwdUqgJXSsVWb5LYmsPFi/zbfP48\nsG8f7zCSlQUcPcpV3CJ67oQQViotjYfXVq4MIE9i27gxv1Cpz94sWAB88QXw22/5bl6/vrQi2DQi\nTmyjoopsTRG2IzkZcHbmNtr4+AJXSsVWb5LYmsPOncCzz/K+mf/8Axw+DKxdCzRtyj13166ZO0Ih\nhCGpR30pCrKygPv3+c8fQG47wqVLwDffcFPtqlX5bu7vzwuh1TsWCRsTHw9UqgSMG8evBcKmpaQA\nFSsCNWpo6LMtbtQXIImtFiSxNYedO4G+ffljBwegeXNAUXD9hoLHrboU7r0VQli3PG0IUVH8Yfny\n2deNGMGrxF58EZg1C5g6lat2N27k3NzBAahdG7h+3QyxC+OLieG5xmPHcmtKRoa5IxJGlJzM72M0\nJrbFjfoC+LroaA09DEJNElsTevwY2L8lFjhzJneWT7b0dKBfP2DDfUlshbA5BSYi1KyZ5zpvb6Bl\nSy7jTJnCGe+oUcDq1fnuQhaQ2bDoaMDVFahXD6hblyckCJtVbGJbUsW2XDnuY5BtdYskia0J/fMP\nsHron0hoGcTnIfL4/HP+Jf/2YhdQsPTZCmFTYmI4cYGGxBYAli8HtmwB7O3580mTeIV8ZmbOIdJn\na8PUFVuAq7bSjmDTim1FKKliC+S2IyQlASEhwKlT/L9U+gFIYmtSN24Ag8rvwjd3+uY7i3DzJvDZ\nZ/xcVql5faQlpQO3bpktTiGEgd28yb0EKCKxbdAA8PPL/TwwkD/fvTvfIVKxtVHR0bmJ7TPP8EJi\nYbP0qtgCvEnDs8/ycWPHchvTgAHABx8YLWZrIomtCd26loleyp847tIH337Ll2VkANOm8YSfgADg\n+SEKzlaTdgQhbMqNG/wHjiISW03Gjcs341ZaEWyYuhUB4AGnCQnAo0fmjUkYRWYmt8c6OvKPXGPF\ntqTE9quv+AxPXBxw7hxw+jSfEl67lvsayzitE1tFUewURTmtKMp2YwZky+xD/kO6e03M/6EmPvwQ\nGD2af3/T04F33uFjBg0CNkd1QdZ+SWyFsBmlSWx79wb27s1ZJCKtCDYsbyuCnR2X5y9eNG9MwijU\nbQiKoqFim57Oc+2zF5oWKTAQaNWK+23V6tUDGjbkxellnC4V29cBhBkrkLLA6eY5qJ5oicBA7qlt\n04bfbP39d+4KaR8f4F69Lkj7WxJbIWxGnsQ2LIxfg0pUqxa/8p05A4DfBGdkyJoRm5S3FQEAGjWS\nxNZGqdsQAA2JbVQU/x7YlfJk+sSJwPff6x2jtdPqu6coSk0AfQB8Z9xwbJdKBbhGX0TlVo0AcLV2\n2jTNlZsnRzcGxcXz4EohhHUjyumxffyYq67Nm2t522eeAfbsAcAVnvr1gatXjReqMJO8rQiAJLY2\nrLjEliK1WDhWnOefB44dA+7e1S9IK6ft24IvALwLQJbql9KDB0Cg/UWUa964xGMHDVZwLqsJss5L\ngVwIqxcZyTuOOTnh1Cneh6VCBS1v26NHTmIL5G9H2LYNuHfP8OEKM8jbigBIYmvD1K0IACe2MTH8\n8cOHwPg+kUirXkJ/bXEqVQKGDi3zWzM7lHSAoijPAogkojOKogQBUIo6ds6cOTkfBwUFISgoSP8I\nbcSNG0BjXOQnrBL4+wP/VguE285Q1O3RzfjBCSGMJ08bwokTQNu2Otw2KAgYOTKnzNOgARAayns4\nfPst8N57wMcfGyVqYUrSilBmFFWx3bEDoKgoXPZ0RzN9HmDCBN70ZeZMPs1jI4KDgxEcHKzVsSUm\ntgA6AOivKEofABUBOCmKso6IxhQ8MG9iK/ILD0tC66xozlq1ULlVY0QfCENd44YlhDC2AontoEE6\n3NbJifsWDh0CevZE/fq8A2+vXjzD/5VXgPnzber1q2wq2IpQty6vMkxN1aG8L6xBUYnttm3Ay0GR\nOHLSAw3T868L00nr1nzj48eBp54ySMyWoGCxdO7cuUUeW2IrAhHNJCJfIgoAMBzAPk1JrShe0n+X\nEFejXu4A9hLU6R8IxyuhRo5KCGF0eRLb48d1rNgC+doRnn4aWLoU2L4d6NaNRwedPWvgeIVppaTw\nqkAnp9zLHB35d0bmu9mcvK0IlSpxC35UFLB/P9AtMAr23h7YuFGPB1AUYNgw4NdfDRKvNZI5tiai\nCruIZP+S+2vV6j3XGAGpobh2VdqahbBq2YltRASQlpaT42ovT2Lr6sq77trb8+vXkCHApk2GD1mY\nkLq/tmDZXdoRbFLeiq165NfPP3NxtcKjSLTp644vv9Rz89Fhw/iJIe9OUGWIToktER0gov7GCsaW\nVb59EXaBJffXqtl5eaBcOWDvhigjRiWEMLrsxFbdX6tz20Dr1kB4OC9CK0Cd2MoO3FasYBuCmiS2\nNilvYgtwYrtqVXaLUmQkmvXwwKNHem4+16gR3/Hhw2XyuUEqtibiGnMRVVprn9hCUZBWpzGu/CaT\nEYSwatev50tsdebgAHTsyH22BbRqxWexz53TP0xhJgUnIqhJYmuT8rYiAPye5tIl4LnnAERFwc7T\nHZMmARs26PlAw4fj4txfMXVq0YecOwc8fqzn41ggSWxNICUFCEi7iOrtdUhsATi3C4QSFio7Kwph\nrVJSOHHx8cGJE0C7dqW8nw4dgCNHCl2sKDy6UtoRrFjBiQhqktjaJE0V2/btAU9P8FkZDw80aQJc\nu6bnAw0bBs/Dm7FudSYSEvJfdfUqP2+0aMG789oaSWxN4NaVdPjhNuwbarPdUC7HJxqjq0cY/vzT\nSIEJIYzr1i3Azw+ZZI9Tp7iroFQ6dgQOH9Z41ZAhwObNpY5QmFtRrQgNGnAGkpVl+piE0RRMbAMC\neDoXVKqc6n2dOtzBpI8M3zq4lVkLE+seyPfGd+9e7ud98kne9XTtWttrZZLE1gSijl5DTEXf3H1z\ntRUYiOblQiWxFcJaZffXXrjAO+RWq1bK+2nViqt3Gs4btmrFq6rv39cvVGEmRbUiVK7M+yjfvGn6\nmITRFGxFWLgQePVV8BucatWAcuXg789t9fq8pzl+HDjgNQxveG/M2a8hKwt46y3u6Z0xI3eyyr//\n5t6OyPoTXUlsTeDxv2F46K5bGwIAIDAQ7jFhCAkxfExCCBPITmzPndNhG11NKlQAmjUDTp4sdJWd\nXZGdCsIaFNWKAHA7woULpo1HGFXBii2QvaA0IgKoWRMA/7m7ufFFpfXPP0D6s4Pgd+Y3XLuchWvX\ngJ9+AqpUAQYMyH3cMWO4agtwQjtmDM/GtmaS2JrCpYtIrV2KxNbDAw5KFuIuRyE93fBhCSGMLDux\nvXwZaNhQz/sqph2hmKuEpYuJ0dyKAACDBwNLllh/CU3k0JTYAgDu3gV8fHI+rVOH152W1j//AC2H\n1IHi6YmZXY9hxQpg1ixg0aL8k1lGj+aRt2lpwI8/8jSGr77iyrK1ksTWBKqEX4R9k1IktooCJTAQ\nXdzCcOmS4eMSQhhZnsS2QQM976uYsqwktlasuIrt+PFAUhL0m9gvLEnBVoQceSq2APfe6pLY7t8P\nnD7NHz96xBMPOnQAMGgQhpfbiiVLuK+2Q4f8t/P3B5o25WT27bd5B7Q2bXi2rrWSxNYE3GNC4dxO\n+80Z8mkxKTE5AAAgAElEQVTcGEFuoTLORwhrlD3q69IlA1Rs27cHjh3T2HjXqhWPDEpM1PMxhOkV\nl9ja2/NWc+++y6U+YfV0qdhqu4AsLIwXkfbty725Bw7wBJaKFQEMHAi3w9vw8kuEhQs1337sWP4V\nmzGDO55efx34v/+z3hMFktgaWcL9x6iVdg21+zct3R0EBqK5wwXZNlMIa5OWBty4gay6DXD9OlBP\nt6Eohbm5AV5eGnsuy5fn0T0nTuj5GML0imtFAIBOnfhNzYwZwLJlnL2sWGG6+IRBaZvYaluxTUzk\njpVFi7jiOmAA8PvvvP02AC7H2ttjxStnUL++5vsYMgT49FPgjTf486ef5iEN+/fr9KXhr7+4Imzu\nhFgSWyO79usp3KrSFI5VdJyIoNahA+rf2y+JrRDWJjQUCAjA7aiKcHPjRe5669BB+mxtSVYWEB/P\nw0yLs2gRsG8fcOoUZx3z5/NydmF1tG1F0KZiSwRMmsR/+xMm8MSDJk2A1at5J24A3FA7cCD3GBSh\ncmXg/fd5Iar6JuqqbXHynjz6+2/u1z17lqe0mJMktkYW/9dxPKxX2qnsAFq0QMW0eDw6rUcXuRDC\n9M6cAVq0MMzCMTVZQGZbYmOBqlW55aA4vr7A+fPAmjVcVvP3B3bsMEmIwrAMVbHNyOAW7Dt3cjdZ\nUBRg5UoeIZZvCsugQcDWrTrFOWoUjwwrairTvn2coAcFAe+9x8dv2wa0bGn+QR6S2BpZxbMn4Nix\nNPtoZrOzg92zfRCU/IemreKFEJYqJARo0QKXLhlg4Zhar158vk/DdoTt2/M0sIwMAz2WML6S2hCK\nMnky8M03ho9HGF2RiW2Bim2NGtwOEBdX+NDERO5IefgQ2LOHx4OpVajAiaZd3uyubVt+E6XDTnaV\nKgEffwxMmcJxFPTLL8AHH/BjAcD27XxCqUkTPlllTpLYGhER4B95HLWG6FGxBaA82weDKv4h7QhC\nWJOQEKB5c8NMRFDz8gKeeSZ38GQe1atzIU+b54lLl4CZMw0Ukyi94haOFef55/mMwNWrho9JGJXG\nVoSEBE4YnJ1zLlKUoqu2kyZxDrxtm5YtTnZ2PKD2u+90inXCBG43WLcu/+VZWcBvv3HrQZ8+3Cmj\n3i68SROp2Nq0eycj4EgZ8Ongr98d9eiBJxIP4+J/hXcdEkJYIJUK6l0ZDJrYAsDUqcDy5RrLKJ06\n8QtOSd5+m1+M8u44JMygtIlt+fKcdcgiMqujsWJ79y5nqnkHzKLoPtuDB4HZswEHBx0e+KWXOENN\nTdX6JnZ2/FQzYwa3gqsdPsxdEwEBhW8jia0tiI3lZv7lywtddXvjcVx3bwfFTtFwQx1UrYq4gFbI\n3KPjEkUhhHlcvw64uAAuLoYZ9ZVXhw78yrhnT6Gr3nuPizL79uVelpGR/7Vs3z6u2C5cyKcahRmF\nh+c7/ayTl1/mRMWaJ+mXQRoT24iIfP21apoqtvfvA+npvEW3TgICuAF282adbtaqFdC/f/4zPFu2\ncNuuJoGB3IpgzskIktjq4+ZNoEMHhIcl4tQXBwv9INMPnkBKUz36a/PI6vUsap3bZZD7EkIYWXYb\nQkIC98NpeM0qPUXhqu2yZYWu8vMD1q8HXniBc6bDh4EnnuDXtBMnuMj73nvAggW8P/2JE7wmSZjJ\nlSsocgZTSWrXBlq3ls0brIzGVoQCC8fUNFVsQ0I4P1VKUy97+WXg2291vtnChcCuXdzer1LxOrTB\ngzUfW6MGJ+76bAesL0lsSys+HujYEWkvTsXwx6tRIzyk0OtM9SvH4dRDv/5aNdcxfdAu9g+kp1np\nxGQhdPTRR8C9e+aOopTyTESoV6/AQg5DGDGClyxraMDr1o1bDdq2BYYPB+bN49eyfv347LWdHc+t\nrFiRxwMtWGDg2IT2rl7Vb8Dx5MnA118bLh5hVERFJLYFFo6padpWN3tNaun068d3qOPqrmrVeCDH\nxImc3Do5AY2L2XPK3O0IktiWVkgIEBCAn6pOgUfnBvB1uIsv5yVi716+OjMlA3USQlB3RGuDPFyF\nFo1g52iH69vNvNxQCBPZtEmnRbyWxRgTEfKqVIkXg3z/vcar334b+OILfv0aPJhfz/bv57bfJUty\nE+1XXgH27uXCoTADfSq2AK/cefAgdy9VYdFSU7k9utAb3SIqtgEBhSu2p09zxbZUHB353e3KlTrf\ntFs3YOhQflNcVBuCmrodwVwksS2tsDCgcWOsWAG8ONkBdk2bYPOssxg2jMcM/rHwPO6X80fVWs4l\n35c2FAVX6vdD7A/bDXN/Qli4hASNU62sQ56JCAbtr81r/HjusdSwxa6icLW2atXcywID+UWxU6fc\ny5ycuG1Bx7Y7YQgpKbx4zNe39Pdhb8+nl2X0l1UocnMG9eKxAnx9c3tq1fSq2AK8f+6mTZpneJVg\nwQIeKzhyZPHHScXWWoWF4Y5zIKKjgZ49AbRogRZ0GkeOcNn+wjeHEFX3KYM+pP3A/nA9+rtB71MI\nS2W1ie2DB7xiq1Ytw09EyKtJEx7/9c8/et1N165AcLBhQhI6uH6d+2RL2pyhJBMn8juTvMvWhUUq\ndoathoqtgwNXbdUj/OLi+L2QXttz16vH72iL2nmhGBUq8A5jgYHFHyeJrbUKC8PmsMZ48cXs56UW\nLYCQEDRoAMyZA8xsthMd5vcx6EMGvtoF7vFXkRF+36D3K4SlIbLixDa7pEJQcP68ERNbABg3jpvf\n9NCpE3DsWP6qkDCBK1f0zFCyeXjwxh0Fh40Ki1PsrmNFTMd44YXcjqOQEF4MqnfPft++vBrMSBo3\n5jayUhSFDUIS21JSXQjFysONMWFC9gXZiS0AfjU+cSLPZs2G4erliOPVe+H2MtlKUdi25GR+UrTK\nItTZs8ATT+DoUSAzk1+IjGbECODPPzVvT6Sl6tU5v/rvPwPGJUqm78KxvF58EfjhB8PclzAaja0I\naWn89+vurvE2Eybw4IukpNyJCHrr2xfYudMAd6SZszNvqHfzptEeoliS2JZGdDSyUjNQo4kXvLyy\nL2vaFLh8mX9J//yTyyBVqhj8oWM79IfqN+mzFbYtIYH/t8qK7fnzQNOm+OIL4PXX9T/TXCwXF+6F\n2rBBr7vp0gU4cMBAMQntXL1a4sKxR4+03CK5c2eu+mma5i8shsaK7f37gKdnkWVYb2/++9ywgXvk\n9eqvVevYkX//IiMNcGeambMdQRLb0rh4EZE1GqNtuzyD5CpW5NkcoaHAjh080dgIvCb0hs+Ng/z2\nTQgblZjI/1tlYnvhAu66NEVwMK/vMrrx4/lcpR4T0YOCpM/W5LRoRZg8WePeP4U5OAADB/LkfGGx\nitycoYRNOl56iUf2Gaxi6+jIZ5T/+MMAd6ZZkybabe9tDJLYlkZoKC6iMdq0KXB5ixa8R+Xu3Vzq\nN4J2PaviBLVFyu9/G+X+hbAEVluxzcgArlzB0j2NMGGCUU7aFNajB79i6rGITN1nq1V1UBiGFhXb\nixeB37VdL/z88zLewsLpsjlDXs88A8TEcEG+uPmxOjFyO0LXroU3R4yPBz79lB/a0xM4etQ4jy2J\nbWmEheFwfKDmxHbZMl7patCthnJVqgScD3gOD9fIdARhuxISeGSV1SW2V68iy7smVv1cCdOmmegx\n7e2BDz/kVaulrNq6uPAJp1OnDBuaKEJCAv/z9i7yECLg2jWulWjVQt2lC2c+t28bLk5hUBortsUs\nHFOzt+c26sBALrYaRO/ePMTaSKtGu3Thim3edRJLlvBDjh/PU+pWrDDKQ0tiWxqpIWEIo8bw9y9w\nRYsW3FRipDYENcd+vVDlxL6SDxTCSiUk8Dt6q0tsL1xAuFMTPP10KfZy18fQoUBsbG6J5PFj4PPP\nuedfS126SDuCyVy7BtStW+y+qJGRPF6pa1detlEiR0fgueekHcGC5SS2d+/ydshBQTyDWItC2Jtv\nAj/9ZMBg3Ny4/DtrllGeaCtW5FZe9VMSEfDrrzwLd/BgYNo0YPt24zzHS2JbGmFhqPhk48LPSc2b\n8/9GTmxbD68DVUoq6I4ZN2MWwogSEjgxtLqpCBcu4HRGUzz7rIkfN2/V9tYtoEMH3uB94UKt70L6\nbE1IizYEde7brx8v29CKtCNYtJxWhL17eWzA7Nn8NzpuXIm3rVQJaNTIwAH99BMvXqtTB/j4Y4PP\n5+rdmzszAe4PzsoCWrXiz11duYtKz3WvGkliq6vYWCA5GXU6a3iHVb06N2Mbdb4P0Kq1gpDy7XBz\nw3GjPo4Q5qJObK2tYkvnz2PP/Sbo2NEMDz50KJ+zbtGCz/X99x+wdCknUVro3JmnFN6XMdnGp8XC\nMfU0sL59gb/+4tFxJerenafz3LljmDiFQeVUbA8f5qyva1fen9bV1TwBBQTw/OMTJzh3mTpVr0Wo\nBfXuzWcb1NXaYcPyn6SYODH/ruA//2yY7b0lsdVVWBhulG+MNm2LOIXUu3exp5cMQVEAtG2H279K\nYitsU2IibydpbYlt5pkLCLNrgoAAMzy4vT2wdi2f33v9dX5nMHMmL63X4sXKxYVfaD76yASxlnVa\nzLBVV2y9vXnZxpEjWtyvoyNX/xYsMEiYwrByEtsjR/isiqWoU4dLq6dPA2+8YbDktm5doHJl4MwZ\n4JdfOLHNq0cPbrkJCQHefpt3+127Vv/HlcRWR6oLYTiV0hitW5s3jgbjnkKl88e1excvyoaUFH41\ntAEJCdwCBgCpqeaNRWvJyVDuRsCrcz1jv7ctWps2POJA7bXXgIcPgfXrtbr5zJl8JtsQVRNRDC1a\nEfLmvjq1I3zwAffZhoXpF6MwuJQUoDrFAuHhRj+zqzNnZz41cPQosHixwe62d2/uuKhUCWjWLP91\n9vZ8cumZZ4CTJ4EffzTMpARJbHUUfzQMd5wam+3MgVrNga3RLCsE+/6UfTDLCiI+a1Tk9qdz5vBp\nLRuQkMDPs1WrWlHVNiwMD5zr46nOhlq2bAAODsCiRVq/ULm4AO+8wwmuMJKEBJ7jVcJey9eu5U9s\nf/tNy3YEFxdgxgzg3Xf1j1UYVHIyEBB5jN+AOjiYO5zCqlblbc4WLuT5ugbQuze/KSvYhqD28st8\npmjPHj72v//0Hzsoia2OMk6cLvy2wxycnPDYsw4OLzfTBGRhcidOAO+9B7z6KlCjBjBlSp4E9/59\n4LvveNSPDTRJWk1ie/o09zQCwIULOJtppv7a4nTrBkRFaV3Be+014Phx/ieMYP78EvsqibhiW7cu\nf96iBbdDzp+v5WNMmcJl94KDRIVZJScDfhFHYHlPEnnUrs3tS++/b5C7Cwri5UfDh2u+3tubZ9tW\nqABUqwb4++u/sYMktrpISUG1G6fh3PMpc0cCAKjcvR1Sg4/LJmRlxLp1wGvTCCEhvPA9IoJP4Tx8\nCF7ROnYs8PTTeg3qtxR5E1uLnowwezY3ikVFIfW/CziZ0jRnOIrFsLcHRozglRlaqFiRRwutWWPk\nuMqiK1eA1atL7IGNisp9oQe40rV2Le8+dfCgFo9TrhxX3d5+m5ei6+H+fW7blbY3/aWkAN43D1tW\nf60m06cDhw7xIjc9VazIr1UNG2p3fIcO+rcjSGKri2PHEObYDG27m2I7oZJV7PoU+rgcl7GFZUBa\nGnD155N4f7Er0KgRakweim29V6J9ixQMfvIWVD9v4CejZ54B/rb+XekSE62gYkvEjWHduwNDhiDp\n0GlkNmxikWcY8cIL3Ger5aKQrl0N8pomCnrrLa6EeXoWe1jeaq2alxevIB81iofzlGjgQM6Mf/ih\n1OECwLZtnFT/3//pdTcCQHpSOmrcPg20a2fuUIpXuTLw2Wc8bNYAGzgU2pSiGO3ba7lQshglJraK\notRUFGWfoiihiqKcVxTlNf0e0nrFb9uPA0pXPPmkuSPJ1q4dWmcdw3ffmTsQYWx7193F+rRBsP9u\nJfdA9e8Puz92YsF6f6zPeB7rqkxGejV3rh7u2WPQkS3mkJAAODnx67LFJra3b3M19PvvAWdnuJ7b\nD9egJuaOSrPmzbl0omUppFkznhj18KGR4yoriHhlzJUrPLGiBHn7a/Pq0wcYOZLXHX3yCW+zWiRF\n4a2eZs2CPqf1du3iFohPPpFNzfTl/eA0kr3r8rt2Szd0KLcljB1r8Pm2xWnf3jQV20wAbxFRIICn\nAExRFEXLorJtSdkdjPT2QbCzlDp3gwaolBqLR1cicfGiuYMRRpOSgnrvDUB431d5y5amTblss307\ncOAAvMb2xF9N3uG1IgEBQJUqwPnz5o5aL1bRY3viBNC2LWBnB/z0E36u+T6a9PE1d1SaKQpXbbVs\nR3Bw4KKSvpUTAS59d+nC7Qfr1nGbQAk0VWzVPv2U//TVgxVu3Cjmjlq35vL7okWlCj05mc9IT5nC\n7SlTplj9e2azqnn7CFJbWngbgpqi8PPFvXsGHQFWkjp1uEgcHl76+ygxRSOiB0R0JvvjJAAXAZS8\n/5utSU5GtVshCBjV3tyR5LKzg9K2LaZ3PIxVq8wdjCjkpZd4eJ+eUl96DWcf10X91TMKX9mwIZQF\nH+ObDdWwa1d23tKjh9W3I1hNYtumDQAgKq0qXon/FO3aW8q7Xg1GjgQ2bdJ6yXGnTtKOoLdr13ib\n24kT+c2mlqegi6rYqrVowa26L70EfPVVCXe2YAGwfHmpNm3Yvx9o2ZLPnLz7Lvf279yp890I8JuE\nepGHUb2vlSS2AJ/l2b6dG7tnzNC7X1sbiqJ/1VanZ2FFUfwBNAdwovQPaZ3Sg4/iDJqjW7/K5g4l\nvzFjMOjW5/hxHVnPvM+y4O5dfuVZt06vu1Ht2Yu07X9h94CVcHIuejhqtWrA1q1cVTnr8YzVr4a2\nmsS2bVsAPDp00iRun7BYtWvzOezly7U6vGNHSWz1tmMHn2UZO1an8U7FVWzzmjKFn2ISEoo5yM+P\nk5LOnXmKRzH27eOBDeozzzt3Imd76HLleGLGr79q9zWI/M6ezkJn5SAcewSZOxTdVK3KhZLjx3ke\nV3S00R/SZImtoihVAGwG8Hp25bZMufPjflz26goXF3NHUsDw4aiQHItJfnuwbZu5gxE5vv2WK2SH\nD5fwqqNZWhqwbkUyIp59GbPdvsabH5acMTVrxsP1By/riqzDR61oZ4P8MjP5VFTFihY8FSEjg2fS\ntGqF//7jBGDOHHMHpYVvv+UJGqGhJR7ati1/iSkpJojLVu3YwXvi6oAod9exktSqxSdoSpxg8c47\n3I7Qs2exWzutWsU5zDffcBy7duUmtgDffM8ek7Zc2ozb288ixcmd51tZG3d3nrbTqhWX8PXpE9BC\nhw76tUFp9RZSURQHcFL7IxH9XtRxc/I8swcFBSEoKKj0kVkYu+D9KNdnnrnDKMzeHvjwQ7wzZw4G\nr+iBESPMteWRyJGWBqxcyefxYmJ4q8KCewkW4VGcCitXAl8utcOXjrNRrmNrfLG3r9Y7WXXuDCxd\nVw3/DmiOgMXr4P6/l/T4QsxDPRFBUSx48dj584C/P1RVnDFtGueKVauaOygt1KnDq4BGjeKKczH9\nnpUqcTv3yZPcIip0FB/P0+afflqnm0VF8Y+lenXtjn/jDW6fnjqVXw6KNGQIEBjI2am7O1ff8nj8\nmJ+qdu/mgQq1avH9NWqUe4yfH8d19iy3Qwgd7N2LuObd4GXuOErLwYHbWlQq/n/FCqM9VPPmwIUL\n/OZK/doXHByM4OBg7e6AiEr8B2AdgM9LOIZsVmIiJSmV6czRx+aORLPMTFI1bETDq/9JYWHmDkbQ\nzz8Tde9OwcFE0R9/SzR8eIk3uXeP6IM3H9MF+6aUqdhThnN1Ig8PosjIUoXw7euhFFfeg2jbtlLd\n3pxu3SLy9eWPt2whGjDAvPEUpFIRhU79mi51mECTJxO1bk2UlWXuqHSgUhE99xzR9OklHvr220Tz\n55sgJlv0669EffrofLNdu4i6dNHtNu3a6fCnfuAAkacn0d27+S7+9VeiZ57hjxctIqpQgWjq1MI3\nnzaN6JNPdItPEB2s3ItuLN5i7jD0Fx1NVL06UXi4UR/GyYkoPr7o67NzTo35qDbjvjoAeAFAN0VR\nQhRFOa0oSq9SJOHWISOj0GiU+1/8ghDHNmjWTodhbKZkbw9l9odYVGk2vl4uS1bNbtkypEyciiFD\ngLcP9Af+/JOruEX47TcupPTY+z78+jSBfXoqHG5c5UY7d/dShTBqQWMMc9qFjAkvWV2/rbq/FrDM\nHtvDh4Hz353AcWoLJyfgp59gOZNStKEo3JLw7bfAgwfFHtqxI6+KF6Wwc6fObQgArzcdPFi328yY\nAUyYwFXbCxdKOLhzZ+CVV4DRo/MtBvrll9zdod56i4cpaDrR1LMn8NdfusVX1iXFpuOJx0dQc1SQ\nuUPRn6srLyhYuNCoD+PhAURGlvLGRWW8uv6DrVRsX3+dqF69nHezSf+GUqy9K615+7yZAytBVhal\n12lA/arso4QEcwdThh05QuTrS/PnZNDAgUTe3kSJT7Qn2r1b4+ExMVw8Cf3yb6KaNYliYw0WyvLl\nRG+1OUjk6kp05YrB7tfYDh8mat+eP/73X6KWLc0bT0Hz5xM9cGlIFBJi7lD0M20a0XvvFXtIVBSR\nszNRRoaJYrIVmZn8d6djVSs5mahaNaIHD3R/yDt3iD78kJ9zvL2Jnn2W6KuvuECvMb7OnYnatiXq\n35/Sho2ipysd0erpJymJqEoVosRE3WMsq858dZAuVrKwJzJ9PHjAVduICKM9RPv2RIcOFX099KnY\nlikREbzEdMAAoHt3ZF27iZiuQ/Bb+4UY+5mFDl5Xs7OD44x38VGlT7UdVSkMTaUCXnsNSTM+xhdf\nOWDhQh6RsyVzAJdlNXjzTWDcc3FovHgCT1HQtrFOC5MmAduiO+HqC3N42LaVLCaz9IrtmX9iUCP5\nDtDEwp8TSvLOO8B33wFxcUUe4ubGo1C//NKEcdmC48cBHx9uVNXBrl28PsfDQ/eHrFkTmDuXX8aO\nHOEJYytXFjHC1t6eF7Z99BEwYQJCyrfDetUwVJ8yEjh3jnfmKGK0U+XKPOVu/37dYyyrknfuQ0T9\nbuYOw3A8PHifZSNWbd3dud+8NCSxzeuTT5A0YhK+q78Ix3yHIatBY1yp8iRG/TNe68U7ZjVqFBpm\nXcDexSEyRNsc1qwBypXD/JsvYPBgnkP50kvAt5EDkLH5Nx5kmMfu3cCJQ+mYf3EwJ549ehg0nHLl\n+HVr+MFXkelfl/eNtwIFE1tLmoqQGZuAdw/1Q8b4l3Ua32SRfH2Bfv1KHP+1ciW/fl26ZKK4bMHW\nraVqQ9iwARgxQr+HVhTA358XgO3eDXz9NW96VoizM2/B/dxzmBs9BXuXXeJRDOonrwoV+N2xhv17\npR0BWLqU12D+9FPJCVj103tB3bqbJjBTef997l8JCTHK3UsrgiHcvk0qFxfq3iyKBgwgeuN1Ff06\nbDPF3bGu8y2qRZ/RTqfhdOCAuSMpY+LiiDw9KfKP/8jFhU8Lqi1eTLTfcxid7zeDVqwgmjmT15RU\nq6qie91H8eqozEyjhJWVRTRpElH3VvGU6R9AtHGjUR7HkFatIpo4kT9OTSVycCjidKqpPXpEiU3b\n0Ybqky0kIAMICyNyd+fzy8X4+muiNm2kJUErGzfS42pedOWvGzrdLD6e2z7i4gwbTmgo/4hHjSJ6\n6SWi//0v/4973TqigAANrQWPHvHqMU9Pos2b81115gxRnTpGe9qyCs2a8frLgQOJXFyK6UxKSqIk\npTJdOFH835hVWrOGqHlzovR0g9/1rFlEc+YUfT2kFUELH3+MPf4voVo9N2zdCnzxpYKhvwxGtZpV\nzB2ZTpSXX0J32oMlU24gPd3c0ZQhc+aAnu2LSd88iSlT+LSg2iuvAL91/gK+f6/CvT2hcHAAXpxE\nuD1yBrweX+Ptwoqd01N6dnZccWvWqSpGO/4K1SuvAtevG+WxDCVvxbZ8eS6Mmn2WamYm8NxzuO7U\nHAeHLoN1nMLRQqNGvEJs5cpiD3v5Zd6peckSE8VlrXbtAk2dij7YjV9O1Nbppr/9xgu2qlUzbEiN\nGwPBwTx1rGVLXpPavTvP2T9xgheKbd/OP998nJ15W7Nt23gniAMHcq5q1oxHf40bx38aAO9KNnq0\nHlU2KxIfz1sZf/QRF+eXLQOefz7P2aXkZB4EXbs2spo1xxmlJRq0tLDNnQxh7FjuGTDCE4M+rQhS\nsSUiWrGCUqp6UEu/mGLHS1gL1cwPaG+tsfTmm+aOpIzYvZvIx4c2fR1FTZoQpaUVcdzy5UQdO/I8\nq6ef5hJYVJRJQlSpiD76iGhWtaWU1KAll0It1OzZ/E/Nw4PHoZnVe+8R9exJgwZk0c8/mzkWQztz\nhqtyj4sfZ3jzJq+HunDBNGFZjX37eNXW4MFEbm6075PjVKECUb9+2t9FXBxRq1ZEv/xivDDVVCo+\na1SvHpGPD9H27Vrc6I8/eHFrnuerx4+JevbkL3vdOiI3N6K6dYlWrjRe7Jbijz+IunbNf9m0aUT9\n+2eP/vvoI6JBg4iuX6dDy85Q/9bmfgIzops3iWrUILp0yaB3u3Ej/24VBcVUbMtcYpuVRXTiRPYp\nlMxMUr3xJsW516PW1a7Qf/+ZOzoDSUigLC8fGuRxmHbsMHcwNiA1lWjkSKLZsykjg2jTpjzJa3g4\nkYcHxWwJJnd3XsVfpMxMTmarVCFasMAs53W3bVXRjnKD6HSnabR9O9FPP/FYS0s6s/7mm0RLluR+\nXr8+0cWL5ouHfvuNyNeXVFHRpVnobh0GDcr/TS/Ct99yAiYtCdm+/56zw//9j2jDBqJbt6hfP6K5\nc/m9gjZ/V+rT+tOmmfb7unIlt5ho7b33iHr3zje0OTWVO6kaNiQ6fZroxx8tb+60McycyafK80pL\n43nCS96+y70JN25QcjJRo0b8q2HTli4l6tDBoAO9g4OJOnUq+npJbPP48kvOK5p7R9KVOj3pdNUg\negQMvtUAAB6HSURBVLrlQzp3ztyRGdiGDZRY9wnyds+gmBhzB2PFEhOJevQgevZZyqzmQn1b3iV3\nd6KhQ4kyU9KJ2ren1NkLqGdPrebdc1Zk1iyN6MrJOLpfqTYteHIzjRjBT7xNmvALXZHVZhOaOJH7\nbNVatyY6ftxMwVy5wqWoY8coLIzI399McRjb2bOciZXQa6tS8Z/Dxx+bKC5L9v33XMW8fDnnovv3\neVxXYiL/2uTttdfkr7+4Cr5+vZFjNYT0dKKnnuJm3Twbx6hUub226vFwFnxCyCA6d+afXUH37hFt\nqjyWzvThF4O33uLXCpuXlcWJ7bJluZdt386/2KWsmoSFETVoUPT1kthmU1fM76zZQ2lu3vR36xm0\n7It022yAV6mIunal9U8tpZkzzR2MlQoNpeRmbelql4n07psZ9FXFd+hMx1cpOZmoe3eifxpPo8RO\nvSmwURaNH29lT+YnTvAr7/XrpFIR7dnDCUuDBkR//23e0IYOzX9KtkcPoj//NP7j3rpFdOxYngvC\nwzmT/e47IuJq5ejRxo/DbJ5/nuizz0o8LDyck7E1a8ro4iGViiskBZJaIv72jRvHH/fpQ7R1a9F3\nc+cOt9kEBxsxVkN79IhPqbi6FlnubduW6J9/TByXCaWmElWuzN8KIuKduL7+mquWCxdShpsX1XF7\nRP/7H88TLjOFpYsX+ffi+nXestDfn+jJJ7nsel73fQAePuQ3iUWRxJZyKw0bJu7hZxNb/stTCw2l\nTBdX6u10iB4+NHcwFm77dqInnuBlwz/9RClDx1B8eTea7fw5DR2iovnziS4fieZTTDdvUsqX39DN\nCg3Jp3IcrVxpWafytfbFF1wOzS7TqlREv/9OFOCfRe2aJlHDhkReXtwabEq9enEPm9rzz/N2n8bW\nowdR1ap8tvXsnkjO8hcvJiJO4J59Nn8l2eacP8/L5wtstarJyZNcvHviCStLzPSVksKZa7NmRDfy\nTz1QqYgCAylnIs3s2UQzZmi+m4wMLnAtWGDccI3m/HnuEVq7ttBVc+dypdJWHT1K1KIFcdX6nXd4\no4KRI4mmTCF6+WWiv/+mEyd4S9gy1wq4YAFn/T16cEafmclJv6srv9PbtEnrClBWFk/EKeosoiS2\nxC9I7Zslksrfv8hdoGzSzp0UX9GD/uk8t4yWV7Rw+jT/4W3eTLEffkHXmz5Hn1WeTR9MjS+8nmbW\nLH5F9/CghNNXCxZsrItKRfTcc0TDhuXO+nn8mDL7D6TM8hXpwbT5dOZEKvn4mHZKWPv2vPuY2sSJ\nxl+QEhzMI4+Swm7ToYFL6Jp9PdrUaBaFhRHdvs1Fh65dDboxnGX66CM+z6pFs6dKxb8Xrq5k0esT\nMjKIXn21+H3ntXLwIDcYDxmisWXj+HHulVW/yd25k9eIFhQdzRtc9uxp0JZE0zt7ln/46ifB6Gii\nqVPpzqsLaJD/f/zFZWSUuCjR2nz2aSZt7LKMv/YpU4psureqM3iGkp7OVYiCuUZSEr8J6tKFCwZa\ntuN5eRW9uVmZTmwvX+Y5c7VqEUWPfI1ozBhzh2Ryt47epYMOXSmtZ19Z9VFAxMm7lORSk1Y+s4ka\nN+ZWlREj+Ey9RvHxXKnYv9+UYRpPUhLR+PH8Nf31Fy9uGzWK/3D69yeqX5+u/Hic3NxM9yU3aUL5\net7fekurM+SlExFBqtGj6ZxTe0p09eNfgAkTKOX3v+jTT1Tk6spF+k8/LSPvCzMzudpSVKlRg40b\niWrXJos9K7RnD7/SvfJKKW6clcVn955+mr/I1auLPD0zalT+39PISD6Vqj78p5/4zZOzM5+VMNFA\nFONavpznmGZPhqGpU0k17TW6Yt+AVIpCZGdH5OjIUyNsQUQEXanWiiIbdZbxIKX13XfcBqfFOI7m\nzYlOndJ8XZlJbB8/5rOrtWvz65OPezrVrx5FS2dFUerOPZz+W+qzr5FNGptOV/yfJnrjDXOHYlaZ\nmUSPft9Pt7uNo1M1nqYHiif9HPgxff55nmkZZdH69Xwe/sMP879wb9lC5OZGodPXUY0avF4m5+pH\nj4iOHDF4H4avL/e7qs2dy4vO9ZKQQKqZH1BmqzY8bF6l4mfMmjXp2oj/0Qu+BynzyvVCg8bj4gqd\ncbZ9kZHcP6pDmf6NN7hVwxIrkC+9xKvYfXxI+41rUlOJ5s/nF5OmTfmUXzFD6B884CS24MuLry+v\nP4yJ4QLfgQOW+T0qNZWKK0ceHvlWU40bR7R8afaTaWQkZ/Tff2+mIA0kOZlUrVrRwoqzKeKONfae\nWZBjx/g5pnZtfiP9+uvcB1fgtMozzxR9gt3mE1uViv9mPD2JhvdLooddB1GmTy1SOTqSyqUGP6N4\nePA3roy6c4co0DuWHnnW51UwZUhWFr9JrO2dSouVd+iu4k1LApbRnnf+pJSQi1baIGsERVXzL1wg\nqlOHYgeMp6Xu8+iXwI8optNzlFHJidKruxm8T6Batfyn/L/8kkchaeXYMc6CO3bk88IDBhC9/TZl\nenhRsO9oGma/icJrPEGpT7QmlasrXflkMzVvbhUbspnWf//xaa7339fqLE96OncwVKrEFclGjfIs\nrjGjjAwuDt24wQu56tfnNtl8du8m6ts395xnSgr3A/bpw/P7tHh++OgjTqALGjyY6OefeQOvKVP0\n/3osUmpqoR/2pk0F5rxeusT925beBpiayitX9+0j1cPY3B+9SkU0ahTd7TyMAmrL64VBpKcTXb3K\nvxOffMJnRapUIVq4MOeQUaM0tnETkY0ntjExPIKxWTOiUycz+fTpmDE8AsEI27xZswsXiNq5XKbU\nau5cwtBikYi1Cw0lGtzyBn1Rawk9DggkVf/nbOQcoInFxBDNm0fp731Ae9rMpLkBP1DPtnHUsUYY\npTi5GmyEmUpFZG+fP5f64QctpxH8+COflZk5k0c7hIYSbdxIV0fNoV6u/9I773DuMv3dTBpf+Vd6\nqmIINW3K4zltqopmKFFR3AjaqRPPsSpBZiZRQgIXXUaOJJo3zwQxlmDPHm6LVRs8mJPbhg25mrrq\ng5ukcnfnRT9eXvwi26sX99Fq+fqRlsY31TQy8tNP+e7c3LgFtaxIS+OCXL7e64MH+VSqhwePlVm8\n2ACNzwaiUvGZnIAASmzVhW55P0VJSmUKd/Cn6E4DiV54gR7VbUG+ro/L1mJJU7t7l6cpZK/Sfftt\nokWLNB9qU4ltbCy/A37rLd7Zxd2dp4+kpBCXs7t1s4xhnBbqyBGiJ6tfp/2BUyi1UnWK7zmUsr5e\nwVlvUZWJmBiiSZOsLhHevyma/ijXn5KruJFq0ot8qkyqswZ17hzRW5VXUHKjFkSpqRQayuN+li8v\n3bf68WOiihXzX7ZtG79fLda2bXzKJjQ038XLlnHSsW9f/sNjY8vAQjBDyMri5f21aum0QuzyZT5R\nZu685aWX8hWA6PFjXtUeGkp05kQqhVVpRV/VXkLXrxO/GapRgxdT6rAWYcMGoqAgzdft3cuvsl98\nod/XYY2+/DL/zlGZmUShF1R8+nDXLn73U706v4DHxeW/cXS0aZ+r33yTqGlTSt6+h6pW5Znk/53I\npH+WX6JXqm2grc1m0xMu4XTokOlCKrMuX+bn8m3baOFCHjyhiU0ktuHhXKn2qRJPIa7dKdPekbIc\nHCmrXHl+B1i/Pp//KvgHIgq5eJHo//6P6KXnH9JMj1X0k8NYulfen+JrNeF3DXmf1K9f5+9tixZc\nGrcCKhXRjneCKcKuJoWPeFfe6BjZD2tU9HeVARQV0JbWlZ9ER5/+H22o8Sqd8e5NmS1bkapjR8rs\n1oMbprp25Ve7Iqrm9+/zn3Ne+/bxYlqNMjJ4oKqbW77EKyuL6N13+Vf3+nWDfJll2+bNnKnOncvP\nEfv28RNJXFyRCcjo0XyKvqBDh3jSxUcfcVJorNXjedsQCrl5k2jkSFINHESLP1ORuzvHRQkJOpXv\no6N5seOWLZqvT0zkr7UsPgUlJXHhKSyMf0VefZWofPkClevwcK6W+/jwbKw7d/gbZmdnup7cw4d5\n4GxsLP3yC1fY84qO5oWHR46YJhxB3ALk6kp/TD9Q5Hp/q09s1RuefPL6fcps+gQ3LKWk8LNFcjJX\nEs+elaS2lGJjiXZsV9EE7910ybMzZXn7cM/Z669zuWvZMv5+N2hQ/MRxM1KpiPb9Ekk/tPuGjpbr\nTFEOnnRn5R8l31AYxJTxj2mC+w66PXMF0ezZlLZ4KS0J2k6dyx+nILsD1NvuT9o06U9eYf7uu0QN\nG9KWpRE0b17+xObyZd7DPq+7dzmnCgvLc6FKRbRiBZ+26tKFB6vm8eab/JxRZoajm8LZs/ycMGwY\nN9TWq8fDOj09eRxAUhL/XM6eJdq2jS5f4qkSeZ+Wd+3in+XChTx4oWXLwluT6uPkSR7s8f77/LT1\n5JN5rszI4NEEHTpwEJMn55SU1TuAbdnCv4+nTpW80Ez9nn/6dDkRVJT584nGjuU3Mc2bc20kezR0\nfvv28UIidbl0/35+V6JFC4xeUlK4LyX7ncnzz+fsxyLMbc8eSq3qRq+0P6vxaotLbOPj+Xd3w4bC\nq0jT0jhvbdOG6NSxNKIPPqDTjUbQPz6jSVW7Nv+FyLOIUSQm8uSnnn4X6dpnW/nVZ88eOnGCfx4h\nSw/yO2sTnl9Ub/JTZBfEvXsUO/4tuu7UjBLsnOlyy+F0d8XvZXSIoPlkZWn+lsfFcT5x/Tqf5b19\nmy+PeX8R3bLzp4mdLlPjxrnVkH//LZCMZFu5kjcDyHmMX3/lN1pHjxY69uuv+bVKWg1M5OxZ7kl1\nd+ckt04dTnpnzaIxY4jateNC7+ef8yF5f2S3b/M4tSJGgeokLo7f53z5JSfNdeoQffUV8ZPIDz8Q\n1a3L/cL/396dR0dVZXsc/x4RDcogQUCmZpLBGRScccB2xBlUwB4cFrhQFKF7+fTJW2o70LTQ5ul7\nioqKoo1PERB1BUUxDYi0yGDjgAwyKxEFTCBhSu33xy5kMEAwtyo3xe+zVhZJpepm36rDufucu++5\nb75Z6hTqzJk+jq9WzW+00KiRb6s0s2ZtH/PL7q1d6xeDtmjhOeq0af4xlDopXlS0c0Jwzz2eaabS\nvff+XC+xfr1f+KjBcHwsGvR/tqpqcjZ/4kQfGQ8aZHbVVfFKbDdv9tUdrrzSJwVr1PCzk88+6zcz\nOeUUXzP+5ZzVNrXq2Taz8WXWN/sVK3hiRMXf63M/MWqUD5YffdTvEli3rpfZ1atntrprbx92p+mS\n548/9jKsOnW8fGLH5bh++PDf9mON39hTWXfay7dNs00btEZvnD3wgK8MVFLiNYm51wy3RJ06NvsP\nf7eG9bfaXx5I2JSRi+2htiO9OLJ9e19HatkySyS82fXvb34EatKk1Cm1CRM8t1q4MP37t99bsGD7\nG5+fb3bkkbYp50kbO9Yv0LvsMrPZs3/5soEDza6/fvvPicS+z11sW3Wqb99dfrF5s9lNN/l0YRmu\n+iks3H4/gSVLzJo29RMDO5o+3fvC0aP3Lcb91TvvbC8HSiR8gDpxYhleWFzsU+IvvOAbWLHCP6Co\nJrZyc/2DTM4Kjx7tuYnEx7JlZv0Pe96TxM6dvZxtwACzUaPSmNhum47ZjUTCy2kuvnh7GWdRkZ/d\n7trVR0uDBpmVzF9o1qKFFdx2t/2uZ0lpkzKSYosX++RGhw7bj1Wvv2525BGFtu6am73HT8NAo08f\nP5315ZeeDNWp42eeH+k80b4PdW3Ehf9I+dkqiUZxsc/WdO/uA9itW82TobPPts2tj7ZVBzW27w+o\nb1MbdPOpsilT/LLY7GyzXr1szaI11rix2fun3mtrL+nxi+1/8IEPwna8a5lUoEWLvHaxVy9fr61f\nPx8tjxu30ymYwkJ/2pQpPsHRsqUvG9a2rR8XylJhNmSIlzXsdNZg3Tq/MKNLl+131ttHCxf61f29\ne/txKjfX29h+d6vUCA0btg+Xa3z0kU+fN2vmU+RZWf7Vvv3Oi13vq8mT/YPcIbno3n2/Wwkz9oqL\n/f4epY1l0pfYZmd7D/DBB565JhJeeb1okVlJieXk+FrXP/1kPix+9VWfnh040CyR8OCLinxIt7tz\nQFKhhg3zM8BFYyf4ejkXXWSJCe/ayhXRl4ds3OiJ7Lb+K5Hw4+EXf3rONtSsb6tenxz535TUys31\nC0h2WrygpMRs4kTb/MV8G9A/Yffdt8uL1qzxqbiGDS3/gadsfVa2dThiubVr54lQUZHPttStW6ZJ\nOUmnefN8SYCcHLOhQ30G/tJL/T/24ME/z3C8nLPaWvO1nX++5xw//eQLtfTq5SuO7W6RguJiP+T8\n4iLBdevMOnb0kXE577a4bJmHesEFXp6ww30I5FcoKPCzcFOn+o3c+vY1u+MOr4t+7bUyTMiuX+91\nLS1a7FzDspcXlpR4qdOI2z+1Ldl1d5o2Liry8t78/HLsmKRErVqll5WlL7H97juzQYNsTcuTbM0B\n2bYpq6YX2DRqZFtq1LYPq55vG8652Edg1at7T/Hccz762nYFQe/efnGC6mhj68Yb/YIAKy62xPDn\nbGX2sTY/tLIfr+vjg5X33/fp3TFjyvU5jh69yyLfiYTXRLVs6QdMqZR+9TWeeXn+2f/tb1ZS4glG\nly5+0U+DBl73KJXEokV+3vf44806drREzZq2tVbtX5wF2rLFJ113vWFiSYlfb9Sundm11+5SGVVY\naHb66Z4x6TgSSwMGeDVRjx6eo+bkmD38sH+eZ59dxrvVDh3qp4AGD/bTi9WqedlCKV580fuJWxuN\ns7VVD7dHThm30+/Hjt3lWCOx0apV6Yf7PSW2wX9ffiEEW73a6N0bvvgCBt3+LQMfyuLB/83m3HPh\n/OPzefLGGZxyCvCb30CzZlCzpr/4++/hrLPgmGNg7lz49NPtv5PY2bABOnaEu++GmTNh+sdGvzNn\nsnLUZAZ0mEyVDQVQu7Z/lrfdBv36/aq/c/nlcPXVcMMNwKZNcNNN8M03MH481K0b6T5JJbGtvwrh\n54cWLYJDDoEGDSooJvl1zOCtt6BGDTjjDPjXv6BrV3jvPWjX7uenrV0Lp54KJ50EDRv6Rz9mDBx6\nKPTv7/1D2LoFliyBefNg6FBo1QqefhoOOKDCdk/2XUkJDBsG998PI0ZAly57ecFTT8GcOX6waNQI\nrrgCbr8d/vxnALZsSvBfdxbyUW4Br3UZQYM3n2bjqLG0uK4jublwwgmwZQucfDLcdRf06JHqPZR9\ndeaZ8MgjniLuKISAmYXSXhNpYnv11UadOvD445CVBbNnw4UXQvPm0KkTDBmyhw0sXw49e8ITT+zU\nqUk8zZ0Lp50GRx0FEydCrVpw/fX+71NPJZ/0zTf+pDFj/MBViqIiT5DnzfMDVu3acPPN3uG0bu3N\nosbmH+Gqq6BePRg5EqpVS9+Oikj6vP66Z6tDh8Lhh/v/9WXL+GnmQhZ8uYUfqjdjTVYDOtX4jMYL\nJhE++wwKCnzg27QptG0Lp58O99wDVapU9N7IrzRtGlx5JUyd6seBslr/1XK2nncha7ccSrWiH6lT\ntIItVQ4mq14tDjjuGHjhBWjYkMce822/8QYMHgyTJsGECTuNlyUmunb1AUe3bjs/nrbEtk0bY84c\nT2q3ycvzgfNLL0HVqpH8KYmJGTN8YuSww/znggJo3x7atPHH6tSBvs3foc3fb4FPP2XtwUfw7rvQ\nsiWceCIsXuwzsiecAL//vU/gLFniY5tVq+CPZy5i6GmjvQF16wZ//atmYEQy3UsvwbhxPlVbVORn\n+I480g8gS5bAypVw7LHQubNP49au7VP2ykoyyjPPQE4OTJ/uJ3ALC6F69dI/5uXLfZb3jTfgktPX\n0aPNLLJaNaH6UU04+aysX4xxior8OPTkk9Crlx/LmjdPy27JPurTB447Dm69dftjCxZA69ZpSmwn\nTzY6dYpkc1JJrVwJn3ziHcfSpfDss3D31ofo8X0Or9m1fH1ST5bmZ8Hq1aw+sAHXPNyOPn2SndXG\njTB8ODZ9OkX/nEHWxnVU6XY1XHcdnHNORe+aiIik0S23QG6uH08KC30SJCfHJ+XBH3/sMf/q0wf6\n9oX69cu27SFDvPxgyBAYMCB1+yDl88ADsGKF5xLgpZCnngqff56mxDaqbUnmKCnxMrpN85dyecFI\nqr09GkJgY616VJ07myrDn/Yyg40b/d9EArp3hw4d4OijdTpRRGQ/tXWrl9A2aeKXVbzyileZtGoF\n+fl+1u/ii71yZV9nXDdsgEcfhYED4cADUxO/lN9338G553pacN99XvJ40EHw4otKbCWOZs2CSy7x\nEoNRo/yU4ssvq5cREZFSbdjAzyVtbdvCwQdXdESSavn58NvfQna2z9x/9BEccogSW4mruXPhvPP8\na+RIJbUiIiKykx9+gDvvhAcf9Nn5tF08psRWfpWCAr8qQBeGiYiIyF4osRURERGRjLCnxFZTZCIi\nIiKSEZTYioiIiEhGUGIrIiIiIhlBia2IiIiIZAQltiIiIiKSEcqU2IYQLgohzAshzA8h/EeqgxIR\nERER2Vd7Xe4rhHAAMB84D/gWmAF0N7N5uzxPy32JiIiISEqVd7mvk4EFZrbUzLYArwJXRBmgiIiI\niEh5lSWxbQQs3+HnFcnHRERERERi48AoNxbO2WFWuBnQPMqti0hlZ/epXElERPZNXl4eeXl5ZXpu\nWWpsTwXuN7OLkj/fDZiZDd7leaqxFREREZGUKm+N7QzgyBBC0xDCQUB3YHyUAYqIiIiIlNdeSxHM\nrCSE0Bd4D0+EnzOzr1IemYiIiIjIPthrKUKZN6RSBBERERFJsfKWIoiIiIiIxJ4SWxERERHJCEps\nRURERCQjKLEVERERkYygxFZEREREMoISWxERERHJCEpsRURERCQjKLEVERERkYygxFZEREREMoIS\nWxERERHJCEpsRURERCQjKLEVERERkYygxFZEREREMoISWxERERHJCEpsI5KXl1fRIUiMqX1IadQu\npDRqF1IatYuyUWIbETU42RO1DymN2oWURu1CSqN2UTaVPrHVB71dXN6LOMQRhxjiKA7vSxxigPjE\nEQdxeC/iEAPEJ444iMN7EYcYID5xxEHc3wslthkkLu9FHOKIQwxxFIf3JQ4xQHziiIM4vBdxiAHi\nE0ccxOG9iEMMEJ844iDu70Uws2g2FEI0GxIRERER2QMzC6U9HlliKyIiIiJSkSp9KYKIiIiICCix\nFREREZEMocR2N0IIjUMIk0IIX4QQ5oYQ7kg+XjuE8F4I4esQwrshhFrJx7OTzy8MITy+y7YeCiEs\nCyEUVMS+SPSiah8hhGohhLdDCF8lt/NIRe2TlF/E/UZuCGF2COHzEMLwEMKBFbFPUn5Rtosdtjk+\nhPDvdO6HRCvi/uLDEMK8ZJ8xK4RweEXsUxwosd29rcAAMzsGOA24LYTQFrgbeN/M2gCTgHuSz98I\nDAT+VMq2xgMdUx+ypFGU7eNRMzsKaA+cGUK4MOXRS6pE2S6uMbP2ZnYscBhwXcqjl1SJsl0QQrgK\n0ERJ5RdpuwB6JPuME83shxTHHltKbHfDzFaZ2Zzk9+uBr4DGwBXAi8mnvQhcmXxOkZlNAzaVsq1P\nzCw/LYFLWkTVPsys2Mz+mfx+KzAruR2phCLuN9YDhBCqAgcBP6Z8ByQlomwXIYRDgf7AQ2kIXVIo\nynaRpJwOvQllEkJoBrQDpgP1tyWpZrYKqFdxkUkcRNU+QgiHAZcBH0QfpaRbFO0ihDABWAUUm9mE\n1EQq6RRBu3gQGAIUpyhEqQARHUdGJMsQBqYkyEpCie1ehBCqA6OBfskR1a7ro2m9tP1YVO0jhFAF\n+AeQY2ZLIg1S0i6qdmFmFwENgINDCH+INkpJt/K2ixDCCUBLMxsPhOSXVHIR9Rc9zew4oBPQKYTw\nu4jDrDSU2O5B8mKN0cBIM3sz+XB+CKF+8vdHAN9XVHxSsSJuH88AX5vZE9FHKukUdb9hZpuBN1Cd\nfqUWUbs4DTgphPANMAVoHUKYlKqYJfWi6i/M7LvkvxvwSZKTUxNx/Cmx3bPngS/N7L93eGw8cEPy\n+z8Cb+76InY/itboOrNE0j5CCA8BNc2sfyqClLQrd7sIIRyaPKBtO/B1AeakJFpJl3K3CzMbZmaN\nzawFcCY+GO6conglPaLoL6qEEOokv68KXAp8npJoKwHdeWw3QghnAJOBufhpAAP+E/gEeA1oAiwF\nrjWzdcnXLAZq4Bd6rAMuMLN5IYTBQE/8lOK3wHAz+0t690iiFFX7AAqB5fhFA5uT2/kfM3s+nfsj\n0YiwXawB3k4+FoD3gLtMHXalFOXxZIdtNgXeMrPj07grEqEI+4tlye0cCFQB3sdXW9gv+wsltiIi\nIiKSEVSKICIiIiIZQYmtiIiIiGQEJbYiIiIikhGU2IqIiIhIRlBiKyIiIiIZQYmtiIiIiGQEJbYi\nIiIikhGU2IqIiIhIRvh/JLW1APxRFdUAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f69d47b7d68>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "(m, s) = fit(sk.linear_model.Lasso(normalize=True, positive=True,\n",
    "                                   alpha=1e-3),\n",
    "             104, ts_all, truth)\n",
    "s.head(21)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Lasso, normalized, unrestricted, auto 𝛼\n",
    "\n",
    "* Forecast: good\n",
    "* Articles: medium"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "alpha_                                       0.005623\n",
       "intercept_                                   0.178157\n",
       "en+Influenzavirus_B                     309190.876821\n",
       "en+Oseltamivir                          247859.406960\n",
       "en+Pneumomediastinum                   -241133.337987\n",
       "en+Astrovirus                           121122.469304\n",
       "en+Human_respiratory_syncytial_virus     91212.054757\n",
       "en+Bronchiolitis                         74378.827740\n",
       "en+Croup                                  9112.124564\n",
       "en+Specialty_%28medicine%29                 -0.000000\n",
       "en+2009_flu_pandemic                        -0.000000\n",
       "en+Hemagglutinin                             0.000000\n",
       "en+Frank_Macfarlane_Burnet                   0.000000\n",
       "en+Wendell_Meredith_Stanley                 -0.000000\n",
       "en+Hemopneumothorax                         -0.000000\n",
       "en+Recession                                -0.000000\n",
       "en+Pneumonitis                              -0.000000\n",
       "en+Pathogenesis                             -0.000000\n",
       "en+Restrictive_lung_disease                 -0.000000\n",
       "en+Influenza_A_virus_subtype_H1N1            0.000000\n",
       "en+Peramivir                                 0.000000\n",
       "en+Ghent_University                          0.000000\n",
       "dtype: float64"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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XydgKYWm2bNkCX19f7Nu3DykpKRg1ahQA4NixY7h27RoOHjwIQPNytU8++STmzJmD0aNH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\ngg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f69d49bb160>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "(m, s) = fit(sk.linear_model.LassoCV(normalize=True, alphas=ALPHAS,\n",
    "                                     max_iter=20000),\n",
    "             104, ts_all, truth)\n",
    "s.head(22)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Lasso, normalized, unrestricted, manual 𝛼\n",
    "\n",
    "* Forecast: good\n",
    "* Articles: bad?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "intercept_                                      1.752455\n",
       "en+Central_nervous_system_viral_disease   -908597.366347\n",
       "en+Walter_Fiers                            667720.075330\n",
       "en+Immunity_%28medical%29                  649409.609485\n",
       "en+Pneumomediastinum                      -588170.851473\n",
       "en+BK_virus                               -464633.072887\n",
       "en+Chandipura_virus                       -366806.967713\n",
       "en+Patrick_Laidlaw                         326667.243584\n",
       "en+Influenzavirus_B                        291817.724063\n",
       "en+Penile_cancer                          -275935.477542\n",
       "en+Oseltamivir                             273333.388448\n",
       "en+Global_spread_of_H5N1_in_2007           259742.410783\n",
       "en+James_Robins                            231820.802099\n",
       "en+Influenza_prevention                   -230575.419799\n",
       "en+Human_parainfluenza_viruses             180279.261298\n",
       "en+Influenza_treatment                     145659.360897\n",
       "en+Myelitis                               -100039.047059\n",
       "en+Influenza-like_illness                  -97760.554466\n",
       "en+Human_respiratory_syncytial_virus        95984.665819\n",
       "en+Viral_encephalitis                       81424.727772\n",
       "en+Ramsay_Hunt_syndrome_type_II             72147.590742\n",
       "dtype: float64"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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NjtdSlC2Wzp07V+OxWlsRiGgGEQUSUX0AowAcUJfUsordP3YFiTUbFQ9g18Kr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\nAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f69d46f2278>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "(m, s) = fit(sk.linear_model.Lasso(normalize=True, alpha=1e-3),\n",
    "                                   104, ts_all, truth)\n",
    "s.head(21)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Lasso, non-normalized, positive, auto 𝛼\n",
    "\n",
    "* Forecast: good\n",
    "* Articles: bad?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "alpha_                                  2.371374e-09\n",
       "intercept_                             -1.946009e+00\n",
       "en+Influenzavirus_B                     3.950839e+05\n",
       "en+Oseltamivir                          1.471980e+05\n",
       "en+Influenza_treatment                  1.156963e+05\n",
       "en+Human_respiratory_syncytial_virus    1.046554e+05\n",
       "en+Sore_throat                          8.606633e+04\n",
       "en+Influenza_A_virus_subtype_H5N1       5.554838e+04\n",
       "en+Pleural_empyema                      4.481064e+04\n",
       "en+Allergic_rhinitis                    3.905720e+04\n",
       "en+Anal_cancer                          3.649644e+04\n",
       "en+Croup                                3.597195e+04\n",
       "en+Nasal_septum_perforation             2.868253e+04\n",
       "en+Ramsay_Hunt_syndrome_type_II         2.629343e+04\n",
       "en+Wayback_Machine                      1.709160e+04\n",
       "en+United_States_Army                   1.680341e+04\n",
       "en+Bibcode                              1.666415e+04\n",
       "en+Epstein%E2%80%93Barr_virus           1.337207e+04\n",
       "en+Pharyngitis                          1.187180e+04\n",
       "en+Southern_Hemisphere                  1.060218e+04\n",
       "en+Culling                              8.034380e+03\n",
       "en+Humidity                             6.183649e+03\n",
       "dtype: float64"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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38ffnpeKFDSo+I4KGJLZ2KzOTW4hMMnhMY8KEStuOIImtGSQkAK1xGdU7G5DY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\ny8jgcWGdOhG1acOzvGkb77NggY5Opb1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WLuSLBNocOsSfsoGBFYncNqSk6LmCWWEREVwt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\nRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f69d4913f28>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "(m, s) = fit(sk.linear_model.LassoCV(normalize=False, positive=True,\n",
    "                                     alphas=ALPHAS, max_iter=20000),\n",
    "             104, ts_all, truth)\n",
    "s.head(22)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Lasso, non-normalized, positive, manual 𝛼\n",
    "\n",
    "* Forecast: good\n",
    "* Articles: good"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "intercept_                                   -0.150126\n",
       "en+Human_respiratory_syncytial_virus     178426.645274\n",
       "en+Influenzavirus_B                      105094.484150\n",
       "en+Influenza_A_virus                      93267.932249\n",
       "en+Influenza                              17379.110153\n",
       "en+Bronchitis                             13085.440811\n",
       "en+HIV                                     2535.662165\n",
       "en+International_Standard_Book_Number       413.524053\n",
       "en+Cat                                      267.016702\n",
       "en+Specialty_%28medicine%29                   0.000000\n",
       "en+2009_flu_pandemic                          0.000000\n",
       "en+Hemagglutinin                              0.000000\n",
       "en+Frank_Macfarlane_Burnet                    0.000000\n",
       "en+Wendell_Meredith_Stanley                   0.000000\n",
       "en+Canine_influenza                           0.000000\n",
       "en+Pneumonitis                                0.000000\n",
       "en+Peramivir                                  0.000000\n",
       "en+Ghent_University                           0.000000\n",
       "en+Pathogenesis                               0.000000\n",
       "en+Restrictive_lung_disease                   0.000000\n",
       "en+Influenza_A_virus_subtype_H1N1             0.000000\n",
       "dtype: float64"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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dj3N1UxBUpiFu75SqrRAWKT2xPX6cW5DSW22L5vnngb/+wpgxfHXx6VODRSnU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\nEf4LiV2wUSEnGwEAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f69d4953be0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "(m, s) = fit(sk.linear_model.Lasso(normalize=False, positive=True,\n",
    "                                   alpha=1e-7),\n",
    "             104, ts_all, truth)\n",
    "s.head(21)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Lasso, non-normalized, unrestricted, auto 𝛼\n",
    "\n",
    "* Forecast: medium\n",
    "* Articles: bad"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "alpha_                                               0.000002\n",
       "intercept_                                          -0.130553\n",
       "en+Influenza                                     53561.317826\n",
       "en+Pneumonia                                     15125.606525\n",
       "en+Christopher_Columbus                          -2206.646976\n",
       "en+International_Standard_Book_Number               56.098039\n",
       "en+Hemopneumothorax                                 -0.000000\n",
       "en+Hemagglutinin                                    -0.000000\n",
       "en+Cytoplasm                                        -0.000000\n",
       "en+Recession                                        -0.000000\n",
       "en+Ghent_University                                  0.000000\n",
       "en+Pneumomediastinum                                -0.000000\n",
       "en+2009_flu_pandemic                                -0.000000\n",
       "en+Wendell_Meredith_Stanley                          0.000000\n",
       "en+Frank_Macfarlane_Burnet                           0.000000\n",
       "en+Prevalence                                       -0.000000\n",
       "en+Specialty_%28medicine%29                         -0.000000\n",
       "en+Pneumonitis                                       0.000000\n",
       "en+Pathogenesis                                     -0.000000\n",
       "en+Restrictive_lung_disease                          0.000000\n",
       "en+Centers_for_Disease_Control_and_Prevention       -0.000000\n",
       "en+Hydrothorax                                      -0.000000\n",
       "dtype: float64"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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eDqSlcbeRMTp14u5HWXVICPugUgHnzukMbDXV2AL5BLYAMGEC8M03GkaXCbtT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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f69d4953ba8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "(m, s) = fit(sk.linear_model.LassoCV(normalize=False, alphas=ALPHAS,\n",
    "                                     max_iter=20000),\n",
    "             104, ts_all, truth)\n",
    "s.head(22)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Lasso, non-normalized, unrestricted, manual 𝛼\n",
    "\n",
    "* Forecast: good\n",
    "* Articles: bad?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "intercept_                                    0.998470\n",
       "en+Human_respiratory_syncytial_virus     167224.029975\n",
       "en+Influenza_A_virus                      90728.285106\n",
       "en+Influenza                              64446.625191\n",
       "en+Diabetes_mellitus                     -11907.673137\n",
       "en+Epidemiology                           -9040.196092\n",
       "en+1918_flu_pandemic                      -8179.001298\n",
       "en+Recession                              -6491.326805\n",
       "en+United_States_dollar                   -6216.443819\n",
       "en+New_England                            -5538.067194\n",
       "en+HIV                                     4993.687837\n",
       "en+Protein                                -4265.548460\n",
       "en+Dog                                    -4088.371717\n",
       "en+Cancer                                 -3824.088188\n",
       "en+Cell_nucleus                           -3073.065884\n",
       "en+Hepatitis_C                            -2882.243708\n",
       "en+Poultry                                -2655.011191\n",
       "en+Swine_influenza                        -1625.337739\n",
       "en+United_States_Congress                 -1541.670877\n",
       "en+International_Standard_Book_Number      1263.909968\n",
       "en+Digital_object_identifier                858.890840\n",
       "dtype: float64"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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AVqpUCd999x3Gjx+P6tWrw9HRMVepwquvvgoigqurK1q1agXAOrO4iq4ie0VRyNrPEoQQ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\n6HDgrbeNzAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f69d4953940>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "(m, s) = fit(sk.linear_model.Lasso(normalize=False, alpha=1e-7),\n",
    "             104, ts_all, truth)\n",
    "s.head(21)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Elastic net"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Note: of the 16 possible elastic net variations, we tried only 8, since the other 8 (manual 𝛼) seemed unlikely to win."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Elastic net, normalized, positive, auto 𝛼, auto 𝜌\n",
    "\n",
    "* Forecast: good\n",
    "* Articles: good?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "l1_ratio_                                    0.900000\n",
       "alpha_                                       0.005623\n",
       "intercept_                                  -0.068701\n",
       "en+Influenzavirus_C                     515821.358356\n",
       "en+Influenzavirus_B                     258037.263919\n",
       "en+Oseltamivir                          221442.677680\n",
       "en+Human_respiratory_syncytial_virus     93797.753125\n",
       "en+Astrovirus                            71697.363269\n",
       "en+Bronchiolitis                         69920.107771\n",
       "en+Viral_encephalitis                    23124.828198\n",
       "en+Influenza_A_virus                     20145.626667\n",
       "en+Influenza_treatment                    4994.547033\n",
       "en+Laryngitis                             4385.475699\n",
       "en+Influenza                              2770.980382\n",
       "en+Croup                                   526.554603\n",
       "en+Bronchitis                              167.628505\n",
       "en+Pneumonitis                               0.000000\n",
       "en+Wendell_Meredith_Stanley                  0.000000\n",
       "en+Specialty_%28medicine%29                  0.000000\n",
       "en+Restrictive_lung_disease                  0.000000\n",
       "en+Pathogenesis                              0.000000\n",
       "en+Hemagglutinin                             0.000000\n",
       "en+Influenza_A_virus_subtype_H1N1            0.000000\n",
       "dtype: float64"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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AkSNHcP36dezZswdA7svVdu/eHdOnT8fgwYMRExMDX1/fjPvWrl2LVatWISwsDElJSfjm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\nMuH/ABaqzayX1MejAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f69d4c466a0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "(m, s) = fit(sk.linear_model.ElasticNetCV(normalize=True, max_iter=1e5,\n",
    "                                          positive=True, alphas=ALPHAS,\n",
    "                                          l1_ratio=RHOS, tol=1e-3,\n",
    "                                          selection='random', n_jobs=-1),\n",
    "             104, ts_all, truth)\n",
    "s.head(23)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Elastic net, normalized, positive, auto 𝛼, manual 𝜌 = ½\n",
    "\n",
    "* Forecast: good\n",
    "* Articles: good"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "l1_ratio_                                    0.500000\n",
       "alpha_                                       0.028730\n",
       "intercept_                                  -0.245037\n",
       "en+Influenzavirus_C                     826481.344753\n",
       "en+Zanamivir                            160730.382584\n",
       "en+Influenza_treatment                  108471.453477\n",
       "en+Oseltamivir                           97324.411199\n",
       "en+Influenzavirus_B                      90022.175851\n",
       "en+Astrovirus                            59419.313914\n",
       "en+Influenza_A_virus                     46625.143326\n",
       "en+Human_respiratory_syncytial_virus     39743.360541\n",
       "en+Upper_respiratory_tract_infection     36375.551003\n",
       "en+Bronchiolitis                         34871.425854\n",
       "en+Bacterial_pneumonia                   17316.317865\n",
       "en+Influenza_A_virus_subtype_H1N1         6801.275141\n",
       "en+Rotavirus                              6708.384087\n",
       "en+Influenza                              5699.547016\n",
       "en+Fever                                  5459.816037\n",
       "en+Bronchitis                             3236.253986\n",
       "en+Streptococcal_pharyngitis              3208.063976\n",
       "en+Pneumonia                               591.857618\n",
       "en+Canine_influenza                          0.000000\n",
       "en+Frank_Macfarlane_Burnet                   0.000000\n",
       "dtype: float64"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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IYU2OnLF1tfUAoBVY2oMSJUpk+z6KFi2q+T5v3ryIjo7O9n0KIYQQQliDZGwdlL4yA+3L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\n8To1iSYAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f69d485d2e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "(m, s) = fit(sk.linear_model.ElasticNetCV(normalize=True, max_iter=1e5,\n",
    "                                          positive=True, alphas=ALPHAS,\n",
    "                                          l1_ratio=0.5,\n",
    "                                          selection='random', n_jobs=-1),\n",
    "             104, ts_all, truth)\n",
    "s.head(23)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Elastic net, normalized, unrestricted, auto 𝛼, auto 𝜌\n",
    "\n",
    "* Forecast: good\n",
    "* Articles: medium"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "l1_ratio_                                    0.900000\n",
       "alpha_                                       0.005623\n",
       "intercept_                                   0.337396\n",
       "en+Influenzavirus_C                     381590.474341\n",
       "en+Pneumomediastinum                   -378156.557094\n",
       "en+Influenzavirus_B                     248227.999622\n",
       "en+Oseltamivir                          218214.742882\n",
       "en+Human_respiratory_syncytial_virus     87228.726543\n",
       "en+Bronchiolitis                         81839.765311\n",
       "en+BK_virus                             -51330.887063\n",
       "en+Influenza_A_virus                     35261.133651\n",
       "en+Influenza_treatment                   14603.198955\n",
       "en+Croup                                  8994.528748\n",
       "en+Sore_throat                            8624.922674\n",
       "en+List_of_ICD-9_codes                   -6575.180127\n",
       "en+Influenza                              1622.253033\n",
       "en+Peramivir                                 0.000000\n",
       "en+2009_flu_pandemic                        -0.000000\n",
       "en+Influenza_A_virus_subtype_H1N1            0.000000\n",
       "en+Restrictive_lung_disease                 -0.000000\n",
       "en+Pathogenesis                             -0.000000\n",
       "en+Pneumonitis                              -0.000000\n",
       "en+Canine_influenza                          0.000000\n",
       "dtype: float64"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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gI5LAVgghjEhdYPvwofHGI4TFUhTd/CsBylGHpCgK5s6di7Jly8Le3r7Yxxw1ahR8fHxg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\nCwS2AAAAyAsEtgAAAMgL/w+GjwKJa2vi1wAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f69d4c81080>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "(m, s) = fit(sk.linear_model.ElasticNetCV(normalize=True, max_iter=1e5,\n",
    "                                          alphas=ALPHAS, l1_ratio=RHOS,\n",
    "                                          tol=1e-3, selection='random',\n",
    "                                          n_jobs=-1),\n",
    "             104, ts_all, truth)\n",
    "s.head(23)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Elastic net, normalized, unrestricted, auto 𝛼, manual 𝜌 = ½\n",
    "\n",
    "* Forecast: good\n",
    "* Articles: good?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "l1_ratio_                                    0.500000\n",
       "alpha_                                       0.028730\n",
       "intercept_                                  -0.244807\n",
       "en+Influenzavirus_C                     826978.407674\n",
       "en+Zanamivir                            160022.005364\n",
       "en+Influenza_treatment                  108563.565734\n",
       "en+Oseltamivir                           97197.575611\n",
       "en+Influenzavirus_B                      90005.985226\n",
       "en+Astrovirus                            58350.797090\n",
       "en+Influenza_A_virus                     46689.716216\n",
       "en+Human_respiratory_syncytial_virus     39737.322136\n",
       "en+Upper_respiratory_tract_infection     36390.850083\n",
       "en+Bronchiolitis                         34905.529928\n",
       "en+Bacterial_pneumonia                   17243.148077\n",
       "en+Influenza_A_virus_subtype_H1N1         6807.046378\n",
       "en+Rotavirus                              6731.666341\n",
       "en+Influenza                              5697.784412\n",
       "en+Fever                                  5469.369464\n",
       "en+Bronchitis                             3241.311195\n",
       "en+Streptococcal_pharyngitis              3221.917430\n",
       "en+Pneumonia                               591.709820\n",
       "en+Canine_influenza                          0.000000\n",
       "en+Frank_Macfarlane_Burnet                   0.000000\n",
       "dtype: float64"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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CAltruHy54GUIAAe2krEVwnHlCmyPHi1ca8nqdTxw3eMJhG4+acbBCbtgqBQB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\nRcmSwPjxWllbqbMtfgwV1y1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fzzFatQoRf13C3r3A/n2Eva1moKn7DZTZ8XNO/xUzq1GD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\n8D+6j0PUxvufRgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f69d49a6da0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "(m, s) = fit(sk.linear_model.ElasticNetCV(normalize=True, max_iter=1e5,\n",
    "                                          alphas=ALPHAS, l1_ratio=0.5,\n",
    "                                          tol=1e-3, selection='random',\n",
    "                                          n_jobs=-1),\n",
    "             104, ts_all, truth)\n",
    "s.head(23)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Elastic net, not normalized, positive, auto 𝛼, auto 𝜌\n",
    "\n",
    "* Forecast: medium (noisy)\n",
    "* Articles: bad?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "l1_ratio_                                 5.000000e-01\n",
       "alpha_                                    2.610157e-14\n",
       "intercept_                               -2.700600e+00\n",
       "en+Influenzavirus_B                       3.557183e+05\n",
       "en+Oseltamivir                            1.692913e+05\n",
       "en+Sore_throat                            1.150712e+05\n",
       "en+2007_Bernard_Matthews_H5N1_outbreak    1.097603e+05\n",
       "en+Influenza_treatment                    1.091778e+05\n",
       "en+Human_respiratory_syncytial_virus      1.083595e+05\n",
       "en+Ramsay_Hunt_syndrome_type_II           9.900899e+04\n",
       "en+Mumps_virus                            6.783153e+04\n",
       "en+Airborne_disease                       6.291818e+04\n",
       "en+Wayback_Machine                        6.208304e+04\n",
       "en+Bibcode                                5.414273e+04\n",
       "en+Influenza_A_virus_subtype_H1N2         5.223943e+04\n",
       "en+Adult_T-cell_leukemia/lymphoma         4.891966e+04\n",
       "en+Pleural_empyema                        4.859992e+04\n",
       "en+Influenza_A_virus_subtype_H5N1         4.361077e+04\n",
       "en+Anal_cancer                            3.794375e+04\n",
       "en+Vocal_fold_nodule                      3.769095e+04\n",
       "en+Oncovirus                              3.641839e+04\n",
       "en+Nasal_septum_perforation               3.623230e+04\n",
       "en+Allergic_rhinitis                      3.206033e+04\n",
       "dtype: float64"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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hGM2dnakDEEKIyqzw4DGp2AphImY4ibSvr2+Fj+Hp6Zn7taOjI1JSUip8THMmFVshhDCh\n/IPHvLyA+/eB9HTTxiSEML7i2gzy31a9enWkpqbmfq9WqxEXF1fq/pWRJLZCCGFC+Su2trZAnTpA\nbKxpYxJCGJ+npyfCwsIAcEsCFaogN2nSBGlpadizZw+ysrLwwQcfICMjI/d+Dw8P3Lx5s8h+lY0k\ntkIIYSJEwIMHQM2aebd5eQG3b5suJiGEacyaNQvvv/8+XF1d8csvvxSpwNasWRPffvstJk+eDF9f\nXzg5ORVoVRgxYgSICLVr10ZgYCCAylnFVfSV2SuKQpX9LEEIIXSRnAx4e/P/OQYPBiZPBoYONV1c\nQlgjRVEqfTXT0pT0nGXfXmzWLhVbIYQwkfxtCDmkYiuEEOUnia0QQphISYntnTumiUcIISydVomt\noijOiqJsVRTlsqIowYqidDR0YEIIYe3yz4iQQyq2QghRftrOY/s/AH8Q0QhFUewAOBowJiGEqBSK\nq9h6ekpiK4QQ5VVmxVZRlJoAuhPRWgAgoiwiemDwyIQQwhrdvJk7Ua302AohhH5p04pQH8A9RVHW\nKopyVlGU7xVFqWbowIQQwipNnQr88QcAaUUQQgh906YVwQ5AOwDTiOi0oihfAJgFYIFBIxNCCGt0\n/37uCgwltSLcvQtoNICNDO8VQm/8/f0r5byulszf31/nfbRJbKMA3CKi09nfbwPwTnEbLly4MPfr\nnj17omfPnjoHJIQQVi0hAcheBjMpCXBzK3h3lSpcxb13j1chE0Lox82bN00dgm7UaqBqVeDLL/lK\nTyV28OBBHDx4UKtty0xsiShWUZRbiqI0IaJrAPoACClu2/yJrRBCiGLkS2wTE4FGjYpukjOATBJb\nISqxu3eBrCzgyJFKn9gWLpYuWrSoxG21vdA1A8BPiqKcA9AawOIKxCeEEJUTEWez+RLbwq0IgPTZ\nCiEA3LoFuLpyYiu0plViS0Tniag9EbUhouFElGTowIQQwuokJ/PlxXytCIUHjwGySIMQAkBUFNC9\nO5CWBkRGmjoaiyFDE4QQwlgSE/l/qdgKIcpy6xZQty7QrZtUbXUgia0QQhhLQgLg4iKJrRCibFFR\ngK+vJLY6ksRWCCGMJSEBaNyYpzwgKrEVQVYfE0IgKkoqtuUgia0QQhhLQgJnrVWrAg8eSMVWCFGy\nW7e4YtumDRAezu8fokyS2AohhLHktCK4uyM9itsRqlYtupkMHhNC5FZs7e2BDh2AY8dMHZFFkMRW\nCCGMJV9i+/BmXLFtCEBexZbIuOEJIcyEWs1vAt7e/L20I2hNElshhDCWxMTcxDbxehw8PIrfzMkJ\nUBSeHUwIUQndvct9Sg4O/H2HDsDp06XvIwBIYiuEEMaTr2KbcC0ODRuWvKkMIBOiEsuZ6iuHj4/0\nJ2lJElshhDCWhASuwri7IyW89MRWBpAJUYnlTPWVw8MDiI01XTwWRBJbIYQwlnwV24zoshNbKdAI\nUUkVrti6uwP37wNZWaaLyUJIYiuEEMaSL7GlOKnYCiFKULhia2fH7x337pkuJgshia0QQhhLTmLr\n5oYqiWUntjExxgtNCGFGCie2gLQjaEkSWyGEMJbsWREya7nDKT0Ofn4lb9qjB/DDD0BwsPHCE0KY\nicKtCIAktlqSxFYIIYyBKLdieyvNHZ62cbC3L3nzzp2BpUuB/v2BiAjjhSmEMAPFVWw9PSWx1YKd\nqQMQQohKQaXiyWmrVsWNJHc8pokrc5dx47ilrl8/nsLSyckIcQohTCtncQYfn4K3S8VWK1KxFUII\nY8jprwVwLbo6bBQCHj4sc7eZM4HatYEzZwwdoBDCLBRenCGHJLZakcRWCCGMIV9iGxqmIM3JXesR\nzk2aAOHhhgxOCGE2bt0q2oYASGKrJUlshRDCGPIntqGA2tUdiCu7HQEA6tcHwsIMGZwQwmxERRUd\nOAZwYiuTW5dJElshhDCG7BkRAE5s7Ty1T2wbNJDEVohKIyqqaH8tIBVbLUliK4QQxpBdsdVouK2g\nqp8ktkKIYsTG8kTWhcmsCFqRxFYIIYwhIQGoVQu3bwM1awL2nm46JbbSYytEJREbC9SpU/T2nGV1\n1Wrjx2RBJLEVQghjyK7Y3rgBXnHMXfuKracn8OCBVpMoCCEsXWwstx0UZm8PODtzcitKJImtEEIY\nQ3ZiGxqqe2KrKEC9elK1FcIaqFTAzz+XssHdu8VXbAHps9WCJLZCCGEM2YPHypPYAtJnK4S1uHYN\nePfdUjYoqWILSGKrBUlshRDCGCpQsQUksRXCWqhUQGpqCXcSlV2xlSm/SiWJrRBCGEN2YnvxItCi\nBfgDKjqaP8i0UL++tCIIYQ1SU0tJbFNSuPeoRo3i75eZEcokia0QQhhDQgJSHWohPDw7sW3QALCx\nAc6f12p3qdhauT//BJKTTR2FMAKVqpSBoHfvltyGAEgrghYksTWVbduAQ4cK3rZlC3DsmGniEUIY\nVkICLt92QUAAUKUKOKkdNw746SetdpfE1sq99Rawdq2poxBGoFIBWVlAZmYxd5Y01VcOSWzLJImt\nKRDxm9jw4cB77/FZ+qRJwPPPA19+aerohBCGkJCAM2EuaNcu323jxgEbN+bNS5mWBrzxBpCeXmT3\nnFYELTsXhKW5dw9Yt87UUQgjUKn4/2KrtlKxrTBJbE3h8mVAowEuXgQOHOAVRtRq4OhRruLKJ5cQ\n1iU9HcjMxIlL1QsmtgEB/EGVc/Vm8WLg88+B334rcogaNfiffKZZISJObO/e1bo1RViunP7aYvts\npWJbYZLYmsKuXcCTTwLe3sBffwFHjgDr1wOPPMKXJ2/cMHWEQgh9yp7q62yQUjCxBfLaEa5cAb77\nDvjsM2DlymIPI+0IVioxEXB0BJ57jj8LhFXLqdiWmNhKxbZCJLE1oqQkbqPFrl3AoEF8o50d0KYN\noCgIDVPwMLBH0d5bIYRlS0iAppYLrl7l89cCxowBtm8HpkwB5s0Dpk/nql0xGawktlbq3j2e/m3i\nRG5NKbb5UliLMlsRSqvY1qnD0wRqNAaJzRpIYmtEBw8CU0fFI+vMOaBXrwL3paYC/fsDa0IlsRXC\n6iQkQFWlFho1AqpVK3SftzfQrh1/2k2bBjg4AM8+C6xZU+Qw+RPb8PBiW3GFJYqLA9zcgMaNgUaN\neIYEYbUqVLGtUgWoWVOW1S2FJLZGFBkJTPL6E4fQE6lU8NNt7lygdWtgY3QPZP4tfbZCWJV793Bf\ncSvahpDjm2+AX34BbG35+xde4BHyWVkFNmvQgM97R4zg/GfZMsOGLYwkp2ILcNVW2hGsWoUqtkBe\nO0JKChAUBJw5w/9LpR+AJLZGFREBPO+xGzdbDsKcOXm3//svsHkzsGIF0OulJlAlZQA3b5osTiGE\nnoWHI4zql5zYNm0K+Pvnfd+iBX+/Z0+BzVq1AkJDgS5dgH/+4feMnAkVhAWLi8tLbPv144HEwmqV\nOXistIotwIs0PPkkbzdxIrcxDR3KFTIBO1MHUJlE3cxCwxt/wuvoEsx7AoiJAZydgf37gW+/BWrX\nBl6ZpuDvpT3wxJ5DcHylvqlDFkLoQ1gYzj1ogMCSEtviPPccDyobPDj3psDAgue87u581frJJ/UV\nqDCJnFYEAKhbF3jwgAdlODubNi5hEKW2IpQ13RcAfPUVH6RVq+xJsQFcvw506wZ88EHebZWU1hVb\nRVFsFEU5qyjKDkMGZM2qXz6NLE9fuDzii0OHgGHD+IPqk0/4ZAsAfH2B+Ed64OZ66bMVwlpoboTh\nWGwDtG6tw04DBgB//13qIJFXXuGJFISFy9+KYGPDFfzLl00bkzAYlYp77Yu0ImRk8Lz2Li6lH6BF\nC04e8iewjRsDzZrx4PRKTpdWhJkAQgwVSGXgGnUBOdciGzfmwdAvvQSMHFlwu3av90CNs4dk0KMQ\nViLjShhUXg3g5KTDTnXr8mWcc+dK3GTUKOD4cR5IJixY/lYEAGjeXBJbK6ZS8Z92kYrt3bv8OrAp\nZ5fo5MnA6tUVjs/SafXbUxTFF8BAAKsMG471Sk8H6qZcRrW2zcvcts3YANTUJOLSX3eMEJkQwqCI\nYBcVjhqPlKO1qF8/7lUqgaMjMH488P33FYhPmF7+VgRAElsrl5rKT3eRiq02A8dK88wzwLFjQHR0\nheKzdNqeFnwO4C0AMlS/nKKigNZVLsOmZUCZ2yo2Cu55tETINimQC2HxYmORYVcdHo10Kddm69u3\n1MQWAF58EdiwQSZSsWj5WxEASWytXIkVW20GjpXG0ZEvAVfypZnLHDymKMqTAGKJ6JyiKD0BKCVt\nu3Dhwtyve/bsiZ49e1Y8QisRGQk0p8v8hqUF21YtcP/fYAC9DRuYEMKwwsJwt0aDApMeaK1nT2Ds\nWP4EdHQsdpNmzXhWsKgo7l4QFkhaESoVlQrw8TFAxRYAnn+e+xznzAGUEtM1i3Pw4EEcPHhQq221\nmRWhK4AhiqIMBFANgJOiKBuIaELhDfMntqKg6Ksp6JIVB9Srp9X2Hr0D4DA3BOnpPF+7EMJChYUh\n0q4B/PzKsa+TE69M+O+/wBNPFLuJogAdOgAnT0pia7EKtyI0asRnKmlpQNWqpotLGIRKxU+33iu2\nANC+PQ8qO34c6Ny5YscyI4WLpYsWLSpx2zJbEYhoDhH5EVEDAKMBHCguqRWlUwVdQXztxnkTsJfB\nMbAFHq0WjGPHDByYEMKwwsJwNaucFVtAq3aE9u2BU6fKeXxhWioVT6yff2ShvT2vxnHtmuniEgaT\nmlrK4LGKJraKwqNKN2+u2HEsmCzQYCTKlct46F92f22ugAA0zQzG339J45wQFi0sDBdSylmxBSSx\ntXY5/bWFLxtLO4LVyqnYFmlFiI2teCsCwInt1q2lThVozXRKbInoEBENMVQw1qx65GWgmXb9tQAA\nDw/Y2wNn9tw1XFBCCINTXw/DtcwGBa4066R9e27Sj40tdZMzZyrt55hlK9yGkEMSW6tl0FYEgF87\ntWsDR45U/FgWSCq2RuIWdxlVtZjqK5eiwPaRACAkBElJhotLCGFYmhuhyPBtUP5xHHZ2vKLQv/+W\nuImbG8/pfv16OR9DmE7hGRFySGJrtUqs2Opj8FiO0aMrbTuCJLZGQAT4pV6Ga1cdElsANo+0wAC/\nYBySRciEsEwqFWzj78GhgU/FjtO1K/Dff6VuIu0IFqrwjAg5JLG1SllZgFrNqyUbrGILcDvCtm38\ngJWMJLZGcC8mA34UAcfWjXXbMSAAXV1C8PffholLCGFgN2/igas/6tbTbtBoibp1K/OyoiS2Fqqk\nVoSmTbkEr1YbPyZhMDnL6VavXiix1WhKrt6XR8OGPE1KJayMSWJrBLH/3UCsg5/u83a1aIEGacHy\nYSWEpcqew7bcA8dyBAZy9a7Itcs8kthaqJKSmerVuXon6yVbFZWKp6R2dCz05xwXB9SqxVN16cuo\nUcCWLfo7noWQxNYIUk6FINZFtzYEAECLFqgZFYKLF+WkXQiLFBaGSFs9JLZVqwKtWvFktSV49FHg\n/HmeOUpYkJJaEQBuR7h0ybjxCIMqsWIbFQX4+ur3wYYPB377rdIlEJLYGoEm+DIe+JQjsfXwgI1G\njWaud3Hjhv7jEkIYWFgYrlVkDtv8ymhHcHIC/P0lD7I49+4V34oAAE8/DSxdKuslW5HUVE5si1Rs\no6N5OTJ9atgQ8PREZZsQXxJbI3AIu4ysxuVIbBUFaNEC/f1CcO6c/uMSQhhYWBjOV2QO2/y0HED2\nf//HVyDHjQOSk/XwuMKwSqvYTpoEpKRUysvJ1iqnYuvoyF/nnrMYomILcNX211/1f1wzJomtEdS+\nEwz71joszpBfQAA61wxGUJB+YxJCGB6FhuJsQgP9fF516cKVl1IuK86aBYwcCQwbBiQkAMuXF90m\nKwv4/XdgwwY9xCQqrrTE1tYW+PJL4K23ihlCLyxRTo+tjQ0Pu0lLy77DEBVbgN8Mtm+vVFV/SWwN\n7eFDeCTfQM2uj5Rv/xYtEKC5JBVbISxNejooNAzx7k31Mx7E3R3w8iq116B5c+Dll3kKy48/BpYt\n4w/SHEuXAn5+wJIlwKuvAunpeohLVExprQgA0L07n9TMng18/TUwaFDxZyzCIuRUbAHus81tRzBU\nYvvII3zQlhumAAAgAElEQVSCVImSCElsDSzl0BlcwiNo1V7HGRFydO0Kn+v/ICioUp1wCWH5goOh\n8mqAOv7V9HfMrl21Xk2oVSugY0dg1Sr+fsUKYPVq4K+/gKNHgZYtgYMH9ReaKAe1GkhM5FWiSvPJ\nJ8CBA7y83OOPAx98UCnnJ7UGOT22AFducwvxhmpFUJS8qm0lIYmtgUVuOY5bvp1QtWo5D9C2LexS\nElE3IxR37ug1NCGEIZ07h7vebfUzcCyHFvPZ5jd3LudEf/0FzJ/PLQgB2V1RTz0F7Nihx9iE7uLj\neaZ+2zLmOfbzAy5eBNauBV57DahXD9i50yghCv3KX7EtMIDMUBVboNL12Upia2AZR07AvmvH8h/A\nxgbKwIF4rs4f0mcrhCUJCkKYc1v9DBzL0b8/sHcvtF1nu317oEULvnq9YQPQON8aMUOGcGIrV4JM\nqKw2hJJMnQp8953+4xEGl9NjCxSa8stQFVuAL93Ex1ealewksTUwr4jjqDe6U8UOMnAgHs/4ozK1\nyAhh+YKCcNG2jX4rtl5eQL9+wPr1Wu+ybBlv/sQTBW9v2pQrR/K+YkKlDRwrzTPP8BN3/br+YxIG\nVbhim5oK4MEDPsOsWdMwD2pjA0yYkNeXZOUksTWg26eiYKPORMDAehU7UN++aHjnCEJOlbzqkBDC\njGg0wIULOKZqo9+KLQBMnw588w0/hhYCAnj6r8IUJa9qK0ykvImtgwPw/PMyiMwC5e+xzR08Fh3N\n1VpFMdwDv/giX7bJnYbBekliW1Hx8dzM/803Re66uuE4Ijw7wdaugi9WZ2dkPBIIxxP/VOw4Qgjj\nCA2FxsUVx6+56rdiC/AAMkdHYP/+Ch9KElsTi4ws/+Xnl17iRCX/tBfC7BVbsY2KMlx/bY4GDYB2\n7YBt2wz7OGZAEtuKCA/nD5nkZODw4SJ3px44AU37CvTX5lP1mSfRPm43HjzQy+GEEAaUcSIIx1Rt\n0LMnz7ajV4rCVduvv67wobp0ASIi+HNVmMC1a0CTJiXePWsWD/grVv363EQtizdYlPw9trmDxww5\ncCy/l17i6VGsnCS25ZWYyCOUp08H1qxB4ZFdREDtG8fh83QF+2uz2Q4aiEE2fyDorIz0EMKcZWQA\n2xeew22PtlizxkBXF8eMAY4fB0JDK3QYOztu2d23T09xCd1cv15wRF8hQUHAoUOl7D91KvDtt/qP\nSxhM4Xlscyu2hho4lt/gwfyeERxs+McyIUlsyysoiEv706aBmjQFRUcXWL/yysVMtMwMgvdT7fXz\neM2bo0pVG1zbbt0vSCEs3bffAg0SgzB0UdsyZ3EqN0dHHgyyenWFD9WpE3DypB5iEroro2J79y5w\n4UIp+w8cCNy5A5w9q//YhEEU24pgrIqtvT33Zn//veEfy4QksS2vkBAgIACRkUC3nnY4ndYSk9qd\nx5AhQOvWwOQOF5Fcux4UZz2NclQUxHcdjCp7pSFOCHN29CjQMisIdoFtDPtAkyZxj2UpS+xqo317\n4PRpPcUktKdS8eCxUkYXxsYC58+XMiWbrS1fXpapvyxGqYPHjGHiRGDrVq0Hn1oiSWzLKyQEl21a\noEMHYOhQoNWEtlj01FlMmsRFlH/e+xeeQzvr9SFdJw5Byxu/W/PrUQiLF37sDqogE6hb17AP1LIl\nT//1118VOkzr1nyeLsvrGlloKPfJllDW12g4783KQumL80yezAOCEhMNE6fQq8I9tkYbPJajcWPA\nyalI+6Q1kcS2nFRnQzDnxwBs3Qq89Rbg0Kkt/O4HYdgwIDAQcNi/iy8T6VHt4T3QkK7jxr+39Xpc\nIYR+xMUBfveDYBPY1rBT9+R47jlejaoCHB35anipl7yF/l27Vmp/bUICUKMGD2Q/f76U43h48MId\nGzboP0ahd8WuPGbMii3AK7bs3m28xzMySWzLSQkJRu3uAejePfuGtm3zzoCSkoATJ4C+ffX7oPb2\nCPHrj9hVspSiEObo9Gmgv9d5KK1bG+cBx4wB/vyTs6AKaN8eOHVKTzEJ7ZQxcCw2lnPW1q3LSGwB\nYMoUYN06vYYnDKPw4LGM5HT++61Tx3hBDBoE7NplvMczMklsyyMuDpr0TDR+zCvvtkceAa5e5et5\nf/4JdO/Op9t69rD3EDgdlD5bIczRqVNAoMNFA8zxVQJXV15SbNOmCh0mMFASW6O7fr3UgWOxsZzr\ntGqlRTX9sce46hcWpt8Yhd7l77F1dASq3L8NeHry6mDG0q0bv/5iY433mEYkiW15XL6MG1UC0L5D\nvkuN1aoBDRvyNBo7d/LM5wbgPXkAGkUfBlJSDHJ8IUT5nToF1E+9ZLzEFkBuY3+JI4zKJgPITKCM\nVgSdKrZ2dsCwYcAvv+g3RqF3hSu2jvFGmuorP3t7vqL8xx/GfVwjkcS2HNQXgnFGFYBHHy10R9u2\n/Mm2Zw+X+g2geSdnnLLtiMQtMvGkEOaECDh3KhM171wDmjc33gP37ctloAoMImvZkot9D2XVbuMp\no2J79y4nts2b8zizMgf3PfNMpVhVytIVHjxWI8lIU30VZsXtCJLYlkPCfyG449oCzs6F7mjbllcD\nql/fYC9UGxvgcpOn8OCHkpajEUKYQnQ04Jd+HUpd37xPLmOwtQXmzwcWLix31bZKFU5uZTpUI3nw\ngP95e5e4SU7FtmpVvhgYElLGMXv04LOTiAj9xir0qnDF1inZyAPHcgwYAPz9N68oY2UksS2H9HMh\nsGsVUPSOtm2BS5cM1oaQ64n+qHn6gGEfQwihk1OngEH1LkFp2dL4Dz5yJBAfD+zfz98/fAgsW6bT\nHF6BgdKOYDQ3bgCNGpU6c0ZOjy3AfbZltiPY2wNPPSXtCGYuNRWonhgNtG+PVjN7YmjMd6ap2Lq7\nAwEBwLx5PODdikhiWw41IkLg9lgxiW2b7AnZDZzYthjSEJSWJgu8C2FGTp0COjsZub82R/6q7c2b\nQNeuwJIl/E9LMjOCEZXRhgDktSIA3Ger1XRs0o5g9lQqoPrxvwE3NyS8ugCf1F7C0/aZwo8/Ardv\n8yWBDz+0mkUbJLHVVXw8bNJTEdC3mDMsFxduxjbwVD9duyk4ZdMJMb8eN+jjCCG0d+oU0CzzIl/T\nN4WRI3naoLZteUDZ6dPAl19yEqUFSWyNqIyBY0BeKwKgZcUWAPr04dl5bt2qeIxC74g4sXU4dQQY\nMAA2fXrhN5vhgJubaQJq0IDnPz5xgnOX6dMrNAjVXEhiq6O0syEIoQC0blPCJaQBAww+MbudHZAZ\n2AnhmySxFcIcaDScR7rFXjJdYmtrC6xfD+zYAcycySufzZkDTJ2q1YdVs2bczRAdbYRYK7sy5rAF\nCia2bdrwNOmZmWUc196eq3+LF+slTKFfmZn8Z2pz7D+ga9e8lcdMrWFDHvR+9izw2msWn9xKYquj\nqH0huOMagKpVTRtH4/Gd4RB03NJff0KfVCru3RNGd/IkUN8jFXa3o8pMWAyqQwfkrRoDYMYM4P59\nYOPGMne1tQV6967wCr1CG2W0IhAV7LH18gJatAB+12bM8Ny53Gdb5mgzYWypqYB31XggMhJo3RrV\nq5vRTCQ1awJ79wJHjwKffWbqaCpEElsdJZ8IQVaTYvprjazx2PYIyAjC8cPWN6JRFC8ri1soS1wS\nfuFCYPhwI0Ykcvz2G/BClxBOVuztTR1OHjs74JNPtP6g6ts3b/yZMJAHD4DLl4GmTUvcJCWFZ8DJ\nv8bP9Ok86U6ZXF2B2bN5rXdhVlQqoJvtMT4BtbNDlSr8vp6VVXC7hATgzh0TBOjsDGzZwr35FjyG\nRxJbHVW9fBY1urQydRhQajohpU5DHP5Km8YrYQ3++ANYuhTo2bPgm15WFngAwKpVPNXP7dumCrHy\nOXsWuHoVv/0GDKhrwjaE0vTuzSORtKjg9e3LFVu5EmRAH3zAJ6Cl9FXmb0PIMWwYt+ZevKjFY0yb\nxhvLWYpZUamALvQfr/wF7losrh1h0SLgzTdNECDA05VOnQq8846JAqg4SWx1QKkq+N07i4bPdjZ1\nKACAar06IWHPcWuchk4UY9Uq4IvPCU8/zVebv/iCc5Zq1YB/Hv8QGWMmAo8/LteSjWnBAmT26guH\npLuol2KiGRHKYmsLjBkD/PRTmZvWr89za166ZIS4KqNr14A1a8rsgc3fhpCjShXgpZeAb77R4nGq\nVOGq2//9H6BWlz/ebFYyWN7kVCqgQ+YRnrUkW/XqBRNbjQbYuhU4dswEAeaYNQv491/gyBETBlF+\nktjqIGrrMVy2b4WGrWuUvbEROPXrjD7Vj2PPHlNHIgwtJgZ4+M9JPP+2G+ZtbI69ziPhvOV7vPaS\nCjFHb6J96CZ0/n0WbjToB+yTVemMggg4eRKXvftgm80IKEFnzbNiCwDjxnGfrRalWGlHMKA33uBK\nmKdnqZvln+orvxdfBDZvLqUdKb9hw4BatYB168oVao6LF7m/t8yBa6JMqqQMBKSdBTp1yr2tcMX2\n2DF+2uLj+XVgEtWrA59+Crz6qkUu4FBmYqsoiq+iKAcURQlWFOWioigzjBGYObq75R/ENOll6EkP\ntNepEzpqjuHnn00diDC0X76MxjbNcCgrvwe2bEGD14ZgktsuDJlRD+5Tn0GNN6di1rI6mLKlL2j/\nfrmWbAwREYCtLV60WY1afjWBf/4x38S2TRsu7R89WuamUvQ3ACLghx+4YjtzZpmbF9eKAPAgsv79\nuRhb5p+4onDv0rx53LRbTlu3AleuANu3l/sQIpvt+bOIrtaIB2plKzyAbOtWYNQooGNHE1dtR47k\nSzgTJ1pcyV6bim0WgDeIqAWAzgCmKYrSzLBhmafqJw/C4Ymepg4jT9OmqJEZj9O7Y81jyhBhEJqH\nKvT4YihSJrwCPP00X+5+9lme1unQIeCJJ4A338QzzwAxVRsg3b6Glo14ojxUKm4LSfn7BFStOuLa\nDRvU2vkjV+L8/EwdXvEUhau2WrQj9O7NVyB1WLRMlObIEV7udvFinjO0SpUydykpsQW4kLZzJ8/K\nVGaXQfv2QK9ePICwnLZvB15/XcsWCFGqakH/4bJr1wK35a/YajS8vsaIEUCXLiZObBWF3y9iYixu\nCrAyE1siukNE57K/TgFwGYAJ1n8zLXqYirr3g9Ds+S6mDiWPjQ1sOnXEs/WO4I8/TB2MKOLFF6GP\ncvqdUTMQ5dAIvt/MLnpns2a8YkytWlAUYOxY4IxLX2lHMKB164D33gPWTzuBdSEdMHAgYO/mDHz8\nMQ9lN1djx3I5qIxryq6u/LIy6Yeqtbhxg5e5nTyZTzbzXYIuTXE9tjl8fTlXvniRi2qFR9QXsXgx\nZ6XlWLThxg3g3j3go4/4azlfrpiaF47gRp2iiW1OxTanDaF5c6BzZ60usBhWtWpcQDl8mGfa0EO/\ntjHo9C6sKEo9AG0AnDBEMOYs8uejCKnSBv4B1U0dSkETJuDl1GXY/LPlnE1VCtHRPEhkw4aKHWbD\n31D27UX0gu+h2JTdAzNmDLD6Vj/QPmmSNASNBvjf/3glyimtTsC5X0dtriybh/r1eVVELUpv/fpB\nTpb1YedOvsoycSJPvaalknpsc9SqxfPp37zJU4+Wyt+fk5LHHuNZPEqxfz+/h+QU5377jfNyBwc+\nT//2W61/BKv31VfAgQM67KBWo3bwYdzw7Vng5vyDx7Zu5WotwK0IZ8/qv7dZreaE+cIFLSfQcXbm\nQsnx47wAVVycfgMyAK0TW0VRagDYBmBmduW2Uonb8g/uNOtl6jCKGj0atW3ikbVnf0XaqIS+rVjB\nFbIjR3jeSi0Q8Uqozz7LUwluXpuKjEkv4ezkb/HC605aHaNJEyC8Xi+ojxwF0tIq8hOIYuzdyxWW\n7p0yUSXkPMYuC0T79qaOSgcrVnCFPzi41M1Gj+axZhZSoDFfO3cCgwbpvFtprQg5cpJNrcaGvfkm\ntyM88QSvTleCRYv4NZ6zyfbtwNCh/PWUKXwBKilJqx/B6m3ezIm/1s6fh6pGHaS5ehe4OacVISyM\n3/dzEtuaNflcVKullHXw5ZfcwztuHE+lrNVFxTp1uPE+MBBo144XmDBjWiW2iqLYgZPaH4ioxLVP\nFi5cmPvv4MGDegrRPDid/gdV+/c0dRhF2drCbtF8fFhlIXbukKqtWUhPB77/Ht86z0Z8QDdoO23F\nb78Bp09q0K2LBuvWAWnvLEDNx9vjye8G6TRgcciEWghzalPharEo6osveOyPcukiUK9egUEgFqFh\nQ76u/OyzpY52btmSEyudKlKioMREXmf58cd13rW0VoT8Ro3iYlp8vBYHHTGCe/LffbfY96QTJ3hO\n/n37gLff5oQqJIR7rgHA25sr+WvW6PazWCMinhLv5Ekddvr7b0Q27g1Hx4I350xA0L49T0IQkG/9\np86dK9YSFBxcMDFOT+e1Wnbs4LaSFStKPc8pyM6O21rGjTPJks0HDx4skGOWiojK/AdgA4BlZWxD\n1kqdlEzJqE5R1x6aOpTiZWVRgndzWtD5T1NHIoiIfvqJbrfsQ/b2RCvbryAaPbrMXVJTiZr5PaQH\n9R8hsrUlcnEh8vAgio3V+eGjo4k6OgWTpo4H0fbt5fkJRDEuXeKnJC2NiL79luj5500dUvloNERP\nPUU0a1apm/3vf0TjxhkpJmu0eTPRwIHl2tXZmej+fe22HTWK6JtvdDj4oUNEnp78RpHPiBFEn3/O\nX7/9Nr/Wx4wpuOvp00Te3kQqlQ6PZ4UiI4lcXYkcHbPfD7TRvz9tH/8LvflmwZtXrSJ6/XWiu3eL\n7rJmTdHnQNv4nnuOyN294FO9fDnRgAF52yUnE9WsSXTvng4Hj4vjz6fISN0D06PsnLPYfFSb6b66\nAhgHoLeiKEGKopxVFKV/BZNv85WZWWRqlLDFP+NitQ7waexYwk4mZmsL+/fmY9DJBbh+Taq2pqb6\n7Gu8HTEdv/8OfHp1COjPP8scYv7pp8BS+3fg1KkltxBcv87/tCnbFOLtDbh0DcDaZ3bztUqZlFQv\nvv6aF+RxcACXtzp2NHVI5aMoXKpZsaLUdTvHjAF27dK6k0YUtmtXudoQ0tL40rSLi3bbP/ecjlPV\nPvYY8PLLwPjxub0m4eHA33/zGDcAWLCAWytHjiy466OPcpt2BafGtXiXLvEV+caNtWwVyMgA/vsP\n17x7olq1gndNngwsWwa4uxfdraSKbVAQV/VzJCTwYna1avGkG82b8+fA9et5T3VGBk8TN3du3n41\nanAVXqep3NzcgBde4IOZq5IyXl3/wVoqtjNnEjVunHuKc2lLMN1T3GjPpxdNHFgZ1Gq6596UZnc6\nYOpIKrW0A/9RtL0fLf86k4iIOnUiig/oQrRnT4n7hIURDXfaR5levkTx8XqJIyqKyMeH6PCHh4nc\n3IiuXdPLcSszf3+iy5ezv2nWjCgoyJThVNyrr3JprhRPPUW0ejV/rdHwP6GFrCz+uytHVSsigv92\ndXkob2+i4GAd43vsMaKOHYmGDKGTTZ+lb8b9V2CT9PTidz16lP8WMjJ0eDwrs2QJ0WuvEU2ZQvTV\nV6Vvm5REdGXlYaJ27eidd4gWL9b+cdRqrgyfO5d328WLfFvt2kQff0x04gRRw4ZEM2ZwlT89veDf\naVYWUY8e/HT36FH0MbZuJXr8ce1jIiKiO3e4ahsVpeOO+oOKVGwrlago7kscOhTo0wentoTDdswI\nRE5bgv5vmunE6zlsbFDzvbcw4PzHshKZqWg0SJk8A+sbf4gXX+ER0EOHAv/UHFriKIOEBGDsgASs\ns30eduvXaF+mKYOPDz/k8M+749bkhVx6kcFk5RYTwxdymjYFz39065b5LsagrTff5Al5ExJK3GTi\nRN7kf//jH7dRI+DUKSPGaKmOH+c/wrp1dd715k1eiEFbtrbcMl3SjAWxscC0acD33xfaaedOpM15\nD6vxPLbf7oQXD4ziAa8XLgD376OKbfEjBzt35lbtH3/UPkZrcyl79eyOHfniTWnWrgV+n3kAGd17\nQ6VCkR7b0tjY8OwLAwfydGsPHnBl9vPPuZJ77BhPU/zee/w36urKFdv8YzJsbfm5unKF1+oobOBA\n/pvWaZUzDw++VGCuVduSMl5d/8EaKravvEL01ltERBQ8YgGloipFPz7ecsoUaWmkcvWmp/zOlni2\nLQxo1Sq67NqZ1q3Ne71cvUrUtc410nh4ED0s2KOdmkrUq2s6XavbizSvv2GQkLZuJarjrqHw9s+Q\nZuorBnmMymDbNqInnyQuv3TqRPSGYZ4vo5s4kej990u8Oz2di9Njx3Jr5tat3Lf3+eeW87ZoLFlZ\n+S6MvPEG0dy55TrOjBlECxfqtk90NFGTJtw2nfO8pKURff01F45nzOD733qLq4Dp6fyabtSIn9u4\nOCJKSSGaN49vdHEhsrMjmjy52GbfAweI6tUj+vNPoszMcv2YFq1NG66UXrjAF3hLM3Qo0VG77vTL\nlD00ZQrRihW6P96KFVwlHzCA6OWXC96XlaXdMUqrsI8Zw8MGdHLnDr8ZnD2r4476gVIqtpLY5oiI\nIHJ1JU3sXfrsMyJfHw2FfrqNu6styaef0j9eo2npUlMHUskkJJDaw5Meq36aEhIK3tW8OdG9x0cR\nzZ5NK1fyG9348URdu2josP+zpHlqqPbvTuVw8iTRY20SKapqA7rz9RaDPY41e+MNok/nZSe1U6da\nT1YXEkJUpw4nNVoKDSV65BGiL780YFwWaMcOzgX/enkLkZcX9xjpKDOTB22Vp3MoLo47C8aN4446\nNzeifv340jURDxDq1o2oSxe+r0cPot9/L+WASUlE06fz6KNt2wrcpdFwstWhA9+9davu8VqqzEyi\natX4TyYri8jJqeSBfmo1ka9LCmVWrU7166TQ008TbdhQvsf94gui3r11GKymg99+IwoM5FxVJ2vX\ncpZvgr4USWxLEBlJ9OuvRP/8QxQz+EU60n0WdejAb9omHvBXfklJlFmrNgW6hlJioqmDqURmzqTr\nPV+gQYOK3jV7NtF7U2PoQVU3GtzgEv38M9G6tRo6P+AdUnfsVKSSawhZWURfPHuKkhzciG7cMPjj\nWZtunTIpvk1PLpeo1aYOR7+GDydatkynXa5e5R6/69cNFJMFmjePaMljuyjOtg59OflcuV4mf/5J\n1L59+WNISeGX6Lx5fAJSmErFPdM6vQUcO8bZ9sGDxd69cSNR377li9cSXb5M1KBB3vc9e/LzVsDD\nh0QdOlC6dz0Kt29E1L07DR1KZG9vnicB6elEL71EVKsW0YQJOpyTaTR89vTRRwaNrziS2Jaga1c+\na/200XK6Z+9B7069R3/9VXLTvMWYO5f+bTiR3n3X1IFYn927uVH/6tV8N+7ZQ+TjQ+P63aUffii6\nz4kT/Jf2VcA3lNm5G9HNm9yt36FD8XO8GEh8PNFb1b6kjFbtDHPab6VUKqKldm9T5uNPWF9SS8Qj\nUzw9dT7B+vxzfg814MUGy3DgANH8+fSvx9OU5uxO8XuOU7t2eYPudDF+PFfmzM4ffxD5+hb7fnX7\nNncuWMtFjLJs3cqDKnO8/TbRokWFNnrvPaLhw2ntvFBaNPwcUUwMnTnDnwO7dxs1XJ3cv88dNM2a\n6XCxOjycz3KvXDFkaEVIYluM06eJ6tXNIvXM17lJxppGjT94QJmePtTf6YjulxZEUWlppB4zlg48\ntoB8fIiefTbf1LSRkUQeHvRg10GqWZOv3hWmVvOVgcy0LE5ma9TgobEmaE57YbKGLgcM5xHx2SrL\nB1J5hXz8G8VU8ctuRLRSw4eTrv1LajVR9+4672ZdVq8m8vEhzdx36QWnTXT7+E0i4iv3ffqUvmtm\nJp8cvP02n2c+fMjz196+bYS4y+Ptt7nJs5iTO1/fynMhaP78gu3Tv/yS3X+fIzqapy0IC6Nhw4h+\n/DHvrtdfN3r+Vy7PPccnWVp/Nnz5JZ/lGvHEXxLbYkwfGUuhTZ7g6wjazoRtSTZtoii31jRzWiXs\n7Nen5GTS9O1LQT5PUqKdK909F03JyVzgOncqgxvWFi+m9esLnsWXKDIy35xRxhcURNTCJ4E09euT\nZus2mjKFaNAg6yxE6sW1a/Swujt99swxU0diWOfP84tah15bIk5matfmIQo51GouYlq91as5o7t6\nlcLDua02R2oqJ6n5CwtBQUSffML9jPv2EbVrxz2TTz1F1LkzV2rN+pJ+RgYH+uyzRRaOGTaMaNMm\nE8VlZMOHE/38c973UVGcx+ae906cSDRrFqnV/Ldx65YpoqyYlBSigABeIKKwmze5N/uLL/Kt/6NW\nc2L79dd5G+7YwX0qBqqcSGJbSPyW/RSteFPqa7OtdzI+jYbSu/aidxy/LM8Yhkrt55+JDh8mnhiy\nY0c6++hk6hSYSRkz3+SZM4hXZfq93qtEAwbQ7Wg1BQYS/fSTaePWVpcuRP8sOUHJ1dxpeJtQ6tRJ\n5xbLyiEykqhePfqm3SrauNHUwRjBM88QffqpzrstWsQf9jk++IA/WY4c0WNs5kSj4U/17KSWiC9P\nDx5ccLNx4/I+57OyeBDp+PG8GFmbNkTr1/Oh1Gr+HQJE69YZ+WfRVVISlx3d3AoMo1+8mOj//s+E\ncRlR48a8CmGuuDja3u9b+qTul5S6aAmf4SQl0YULPMGEpQoO5qd57dq83HTDBr7tySf5o7BWrXzd\nKZcvk8bNjUL3h/KLoV49okcf5cs6F/W/DkClT2zj4ng6i4ULiVQ791NyDQ9aOvAvU4dleMHBlOLo\nRu8/8a+pIzF/O3aQpnVrOhP4Ir3m/iNtqTaBkqq609ERy6iur4ZiYohfSK6uROHhlPHVd3Tdrhkt\nmJlA7u48QMxSzpF+/JHfnD7y/Jwy27ansCvpubO2REURjRqhpjaNU+jECVNHakKxsURNm5Lm08/I\n05PbyKzexYs8Q0KhpVbLolLxYJo//+RKracntxj26GGFbS4qFV+nbdWqwAibd94p2me5cyfPQkBE\n9Mof0wAAAB4fSURBVMMPXNAq7fdx5ozlvIfQxYs8f9j69UTEFejHHjNxTEaQmkpUtWr28xQbS/Tm\nm0QuLqQZO5YOtpxGv3m+RKod+4iIr85PnmzaeCvqwgWu3I4dy7lqw4YFk/pJk/hENnf7MYspGdVJ\n/XhfnoYjK4tPgNzc+Ixu61a9je+o1Int2bN84vDaa0QThidThG09Gum8hy5cMHVkxvFwyy6KtfGg\nO68sklEexXjwgCh611nKdHGj1QO30RKvz0n1xFOkemcB/d8LieTsXGiBqXnz+HKchwftWHadunSx\nvAWo0tJ45GvULQ1fBx01irasSSZfXyJf14cU3HQYZVapRh86fkDfLEuzuuQkKIiLk6NH86W0uDi+\nqtytG1GP+hG0sf1SSqjTmK6PmUe7dnEBxtp+ByV67z3OUHTs/961iz/0vL05ycnM5Lxn/34DxWkK\nhw/znEgjRhRp2ejdm8dX5ZeenttqSQ0b8uw7VuX8eU5Yrl6l+Hgi/+pxpJ42ncu3p09zKToz0yiz\nvhiDRkP04YdEndpn5U0QPG1a7hRKajWf8/j5Eb37Lr8mihtMbGkePuQZDgcM4Fw1v3Pn+G8+IyN7\nzuuGGfRslc10IahQrpGSwidBPXoQNW2ql3a8SpHYnjzJJfOc3E2tznvtbd6cvdGMGRTbf4IpZqYw\nqRULoum8Wy9upqyMs2kXIyuLB24E1IqmaFtfmu65lQYPLrqibZFfV2Iif2Jby6dUSgqfdjdpQnte\n30uqVh24h+7qVUruM4TCqzSh/407bhWJ3cWLfMncy4uvJC9fTjSiSxT9YDOeQly70EN3f8qsVZtC\nujxPn/bdS0/009Cjj3JRptLIyuJGz9mzdd519Gj+4M+xaROPlSz82klMJDp+vIJxltP169w3WKhF\ntGRqNdFff/EsJvXr886FfiC1mvtpizvm88/z1diyBpJZrG++4b6KPXvotq0P3R87nVeDaNqUSFGI\nbGx4jqv5800daYVkZvI0an2aRVF6q0A++SvQj5AnKIgLaU2a6HzxwyL17MmttF99xTN/jRxZRkK/\nahUv7LBjR4Ue1+oT2/R0fhG1akXUsiX3gXTpQvRY5wy69t9dbgLZv58/0axxoFgZVCqiBnUzKCHw\ncf6Lq+Suff8P/V77OTrl8jhlunsW/DSurDZu5E/n+fMLfHA/WPcL3bN1px0jeFbxlBQeAPPRR0R3\nbyQR/fef2Zczr14lmjj8AS2rPpdi6nagtJ+2ccxnzhD5+pJm7rtcjQsNtaBrwQYUG8v9o1sqtpiH\nWs3vybkDTLJNmMCXc8eONf4MANOm8WeEszMXjzZs4PfHItLS+Bpr/fo8sfnKlSW+Nq5d4ypdcfbt\n40/Zo0f19iOYF42GR455eNCHPfYW7BHOqTLFxnKvSnnmPzMT48YRDembSlltA4kWLDD79zxj+u03\norZtearjoCAt+62PHeP3mPr1+UR65kwekabD5PtWn9guWcLNzBoN0Y5NKfRP7eH0wKUuaezteVii\nmxv/1ktdZsW6rVtH9Ngj8aRu3KR8a/pZgeR7aXTg0Tcpxsabjj37NWn2/MmXRORNipVQzb/7zyW6\nadeQ/m08iT6u8T793OI9Ouv3FCXBiZKqulP6198bOdBSHDvG1wG7dSNq2JAynhxK3zr+Hz1w8qKM\nMeO5x6t1a54F382tyIpKItvp00R163LzaAWu8vz9N9cToqL4+0OH+PMsNpaXf3V353MjY9BouC3t\nwgVOZrdvJ3riCaJRznvoWtNBlBWRHaRKxf2AAwcSnTpV5vvDTz8RPf108fdlZZn3vKV6kZZGlJRE\nS5fyiUOxrlzh/u09e4wams7S0nj08IEDuZfvgoOJPOpoKGvMs0SjRsnnRSFZWZyfTpjA3+/ezRc4\nypSRwZdQ9uzhSsnjj/NUmEuWaPW4Vp3YRkXlWwEnK4toyBD+DYeHS/UlH42GLxHMHXGV32DmzKkc\n10mISBMaRkHjl9IV+xZ02vcpigsx3qII1uLmmXv0a7v3KWbyXH7trFtH8WEJNL1PCD2o6mbSKcxy\n/fADZ1Fz5nCpLDiY1g7cQr+1XcgJSo6sLO5PsrTmaGO7e5czv+7dK1Ra/eADvoL28CFRixYFzyV2\n7uRqpzEupF2+zLl6gbwkPJwya9ehHd4v0b0qXpS0eQ9R//7cR6vl58frr5tk4SWzc+gQL+lbosOH\n+cPaw4N7Mz77TKcKnUFpNPzCbNCAS/mdOxNVr05Urx6dqTeMzrcax2VJK+kX1reLF/Pa+KKiuGZQ\nrvw/OprPPleuLHNTq0hs09J41G3++TY1Gj6BmjMn+4aZM7lj2+KXDjOMBw+49WnrklBST51GGU4u\ndP3RkXT+leV0bfslysos4ZV47x5lTXrB4hJhzd04ius6hOLt3Wmb6xQ698leOdvWs6Qkorluyym+\nftvc0a4REcUvVGFQ27fzcPzg4NybLl7kiqARF3ezPmo1X3qtW5eruOU8xODBvJpR//5F/wRnzuSr\n2Yb+01y6lJcNzZWWxoPBli6lzEyiFc/so/s2tSlxwCidqtQdOljZILlySk4mcnQs4+NXo+GJXXfv\n5l4UFxc+M0hIKLhdXJxx36tff51bTvI/kVlZdP/oFXrecROlvLkgd5CYKJ1Gw4ltudOFq1f5vbxw\nD1MhVpHYvvkmUc2aRL0fTaTEwD6ktrOnDMWe0hQHUtfx4Cbb5s2L/oGIAoKD+aTZxYXosZb3aW3X\nlbTPeyJF2tWj8BotKX3tTwXf1ENDKa1eEzpn05budh9e4nHNSXw80U8vHqQYO19a5foWrf4uXSaE\nMKBTJzW0u8pQim3QkXZ5vUCfVnuXltu9QgcdB9AN10C6Vb8b3Q/sS+q+/Yh69eLrtvrKNjMzedSo\nu3uBxEuj4UEN+ecLFxWwbRt/Wi1axNfeDxzgEmhCglYJSEICJ7XXrxe9Ly2Nxx999ZUB4s6nd+98\n3Wjh4ZxYDR9eIP4N3zwgP1813byp3TF37+ZigdRSWN++XPA8c0bLHSIj+WzDx4fL97du8RxZNjbG\n68k9coSH9hceOUz8cp8yxThhWJM+fYrOEqKTU6f4/ebQoRI3sfjE9sgRvsIYd/E23a/bmlY5TqeW\njVS05cd0Uqek8qnB+fOS1GopNJR4XtZ8MtI1tKTXHgpyfozU3j48g8LMmaT29KL3Pb+mkUNUFF61\nKam3/WqaoLUQfyWWfh/wHR2xe4wSqnnS5WV/SIHWSL7/4iG9HbCTTjy/nLLeXUBZn39J4V/uoJ3v\nHqfPhx2il+r9SXMe/ZNSd/5F9NZbXL7LabwsD42GpzWoV48/SU+eLHD3tm08cEkmAdGj8+e5vDpq\nFI8Kb9yYyMmJqyuffsojCzUa3m77dp0qblev8lPZrx8ZZP7kpCQi5+qZpFr1I08o6+bGcxgVcyn8\n88+5TlLWuVfOoGWr76HVQWYm/1l6ePACXPn/xNXqUlalPnCAGzWdnbn5+p9/+GTV0KMLVSp+L/rl\nl2Lv8vAocBFIaOmNN3gQWYXs38+vgfPni73bLBNblYpP+HftIgoJybtdo+FfSO/eRHt+T6f0t+bS\njhpjKKLneH7hv/ceZaRrpAJnAGo1T2nyVNPL9O8bv1LGB0vo48f30/jxfN+UZofpoatPkQ8DtdqE\nE9jHxFDq1Dcopk4rSlJq0vEGo+n2it/1Ngm00I/MTJ7jsXPn7H7KTz7hTCZ75Sadbd7MpbJihpur\n1dzLKQmHkZw/zz2pdepwktuwISe98+bpdJj0dE6KfH25gNe2LY8LSE4uX1jbtmVXjTQaOv3qOopy\nbMT9wr//XmaJdc4c7hct7XNm6VKe21MUlZTEM8a5uhLNnUv09tvczeLsXMrzmZpasNl69myecNqQ\n5s4tceTf55/z+EGhuw0b+Py3wjZvzqvm79/Pb+offUQ0bJj5JbZ79vCJfqNGfIbu7s7TQ9y5w++P\nHTsSbfoqjk449qA/qwymb7r+xMP69+2r+C9KlEqj4fkn+/bl56hFi7y5yA8eJPqpxouUNXR4gSbK\nVau4z97o4wAuXKCH7n70rcNr9NGQoxR+Xcpz5kyj4ZaiOnX4Q+5l+1WUVKU2ZX6yjDMIjYbPkH74\ngejFFzmzee21or1tKSl8gBIuU/38M7+HSLXeyK5fJ7pxg7+OjeU3+HzLrmorM5Of8tOnuVvgued0\nD+Xbb7NnE/LNoFOtnqebrm1o6/SDWu+v0XBRevny4u+PjeWirzmMmTRnN2/ypfxZs7jnfdgwou++\n03JnlYpL4mvX8mXGqCjOivX1h71nD78ZFVMVDgvjlr3ynndXdufPcyFcL9as4Ra23r05YXzjDaJN\nm4yY2EZElBnjX39xIpu/0BIby5ctbG35/7TgG0QNGpD67Vm0a4fa+ANRBBFxh0fhZHXEgGQ6334y\nkb8/0b59lJLC7Ult2vASgoaQlcUn8tev51v5ZP9+SnN2p5dqbizvmBbx/+3de7xV477H8c+jUEKt\nXJJbqaRcUiF329Zx5JbbPiSXyG2j3HLsCHmJkxBLLmELySYkqbyk1FmSa1minVJKF7qSalVKrfk7\nf/xmZ3WZa1m1xpxzrNn3/Xr1ajXnmM/6jTmfxvyNZ/yeZ2TJlCn+hffbb2ad2ky3iXl/seKmB3sm\nUqeOj9Lk55t9/LGf8dau7d+O62vgunXze2SnsG6dl9qPGJHBHZLUZszwg8M115h17uxlDI884gtf\nlnNmSVGR5zavv17+X/vYY34xYObEpbbmpP+wz3Y/02pQZNOmbVn4hYWe92xa4bZwoVnLlt4NZct8\n+KGvI1zu3PSTT3x0pX59r0esVs3/tGhh5S6ETmXs2M0TkaREwleeKueqU5LCmjVm1aundxGJzCW2\ntWv7SMvo0X7anUh4Uc2MGWbFxVZQ4H3po4/M93jgQL+l5913myUSNn++WWLlKl9nMj8/fe+IbLVp\n0/xg/2WPEWb772/TG7WxB//ygY39KGGNG2+8akUUior86mbNmr4SS82aZk+26GcrdqljZ9Ucm7U7\nGEk01q4163BZsd1y6CgrKpyW+htvyRKzTp08Serb148zc+embO9f//JyB43WxsTUqX5NNz/fr93f\ncovX7++2m2cO64ugFy8udXjsq6/8e2PmzD//dS+95MeJOZOW+lrF119v61avtdGjty78a67xCfPr\nzZrliXbyK0u2UCLhI3llzAn6cytW+NlLgwYbX80p7wcyYYJ3qFKWsujXz09cVJ9fMc2bp6defr3M\nJbbz55v17GmJI46wP3apbcW77GpWq5bZPvvYmp3zbMz2p9riVqf7GdjOO/uwcr9+fva1vh7r2mu1\nCHLMffqpHxeGDPzdOtXoZ2saH2qJAw+0N3a73ibeOdBPy996y2zw4Ap/jq+/7rOpzcwskbDVt3ez\npXs0tOtOnmrjxlV8XyT7iovNrr7ayx/Xl72kVFDg9ZsPP5zy6Y8++v8LCRJ3M2Z4vVOzZp6A7rqr\nL9VSyof3xBOeEJU1l+jzz/249N2XRb5wbqdOFT7+LFzoOXjPnl4WsccenqfL1uvTx2unK6x3by93\n6dXLDx7Vq/uZTVmGDPEakiFDUj5dXOyfsZa4rrgOHTavRPrtt5JqpYoqK7EN/nzFhRBs9Wrjn/+E\n/HzYv+o85iyqxuW31GavvaBPt4W83XU8Bx0E7L8/1K8Pu+7qL160CE46CQ45BCZNggkTSp6TWBox\nAs4+G266CXo/avDVV3z+8FgYO5ZjDl4OeXn+Wd54I9x881b/ngsugLPOgivbr4GOHWHmTBg6FPbY\nI8K9kWxLJOCqq2D2bBg+HHbaKfV2zz9njBsHTZoGGjaEKlVg3Tp44w34+mvo2RMuvjizsctWMoNh\nw2CXXeD44+GLL/w//MiR0Lz5Zpv36AGvvQZjxkDduhs/N2/2Wi46ehaPXj2Vo8f1hgMPhOeeg+22\nq3CYgwbBBx/AscfCCSdA48YVbnKbtmwZHHAATJ68+ee4xfr2hYkToW1b2GcfOOcc6NwZbr/dn08k\noKgIli+Hl1/2PvHOO3DUUSmb+/Zb+NvfYNq0CsYljBoFl13m/3cOPxwWL4bWrWHlSpgyBXbYoWLt\nhxAws5DyuSgT2/vvNz74AB55xA8CM2ZA9+5QWAhvvw1Nm5bRwNy50L49PPlkyoOaxM/48f6Z7ryz\n/3vVKqhXzzty8+aw3ayZcOyxJAYNhuOP3+LvmKIi2HdfmF34K7WuPA/23BMGDIDq1aPfGcm64mLo\n0MEPeC++uPnz8+fDoYfCgw/6+c2PP3putN120KoVdOoE1aplPm6J0Ftvwa23Qu/esPvu/n99zhz4\n4QdYu5Zhk+rzzud1aVvvG5rMG0Pdxd+w45rlbJ9Yw/K8euQd0wSOOw7uvNPPeiSWOnf2BLd/fwgp\nU5OtNHcunHYa1KgBv/4KP/0EO+4INWv6wNlLL8Hee5f68qef9nylX78IY9qGvfmmj2u9+qr/ff75\n8OWXfh5yww0VaztjiW3dusbIkf7lI9umJ56AXr1g6VJPSlstfo+Hll7HmXtOoPUle3HppdCiRcnB\nbOVKP9Y0aeJncxse5Iblz2Bx30F0XPucn0Y/9FAkIzASX7/95qM5P/zgec2GbrnF+8fjj2cnNsmQ\nV16BIUO8M6xa5Vf4GjWC7beHWbNY/M3PzMs7lFkNT2FZwyPY97A8GjXbif3rRZkhSTqtXAknn+xX\n/e69N+LGly717HS//fzPFpzttmsHbdrAFVdEHNM27LXXfOS2e3f/rAsL/Srs9Ol+/rG1MpbYnnKK\nMXp0JM1JJbdihZ8s16wJez7/AJafT2HDC3l0Xntsx2pccNJiwt51ue2V5rRq5Zel6tVZzbNHvkDD\nxZ/D+PEsnb2UBcedT5N7L/KjoGwTOnSAww4ruZoIJaO1kyfDXntlLzYRicaCBT64ftttftVv+HC/\nZH3PPdmJx8wHY8aOhYYNsxNDrpo3b+OB8nbtoFkzuOuurW8zY4ntO+8Y554bSXOSa2bPhgEDsEGD\nWLkqMGf1nuyz8GsWP/Acjf77PNatWM2C487jh2kJfmndjlPvOpL6px/MzNlVyMvLdvCSSZ99Bpdf\nDt9/XzJAf/PNULWqX6EWkdwwZYpfjGvaFE491ROdiRN9oDVK338Pd9/tUz/q1vWypU2nacyc6TXU\nP/8ccXmEbGb6dC9XHTYMjjmm5P0uKvJS+3HjfOpV796lVx5mLLFdt85U1iTlV1gIZ5zhJQavvw55\neSx67FUuu7Iq333nZ+/Dh2c7SMk0M//sH3/cy1MmT/a5pd99B3XqZDs6EUmXrl299rZv3+jaXLfO\n5yb+9a9e5vTmm55Ed+268XYvv+yTogcOjO53S+lefNG/+qtUgRNPhK++8hOQFi3885o0CRo08GlX\nqWQssY2qLdmGTJrk2Uvr1j4xrGpVEgmv1W3RQhUI26pnnoGCAp9Peu21vtJK+/bZjkpE0umXX+Cg\ng3zMo169aNrs1csX2vjwQx8ZHDjQk9vBgzfe7qqroGVLX8hHMsPMr9CNH+8LVRxxhM/1Ay+Vbt4c\nnnrKa3I3pcRW4m35ci+y0sQwSVq2zOcM1azpK6qUsjqPiOSYbt18aajnn9+61xcW+hJtp58OtWrB\nKad44lS/vj//448lJQcbatzYX9esWYXClwiNG+elKl9/vfnScEpsRaTSGTXKv2RUfiCy7ViyxJch\nfu89r7/cEsXFcOSRvrLX5Mm+Lu0zz8B115VsY+YrR06c6Evfgk9ka9rUVwjT+Eq8dOvmE9H799/4\n8bIS26qZCExEZEudemq2IxCRTKtd26vS2rb1v087rfyvfeEFv9/HgAFedlBU5P/eUAi+7vUXX/i6\nquAjgyecoKQ2jrp08VUqFi4s/yCHPkYRERGJjTPO8KWML79888lcy5b5TVrWrt348SVLfJ3UPn1K\nZtlvmtSud/TRfqOA9YYP92keEj+1a8OFF8Kzz5Y8lkiU/RoltiIiIhIrxx3nE746d/aygvXuuMPv\nbvr3v3tZwXr33ON3ZC7PjUtbtSpJbFesgHff1a244+ymmzyxXbPGP/MuXcreXqUIIiIiEjuHHQY9\ne8Kll3rpwMcfw/vv+9J/bdtCjx4+qnvrrf7Yp5+Wr91WrWDCBK/JHTzYyxBUyx9fhxzifeGNN7wk\nYdSosrfX5DERERGJJTM491xf1WDoUHj6aS9VWLDAF/lftsxH8Lp02aK753LggV7u0Lkz3HCDz76X\n+HrvPejY0T/jTz6B/far4KoIIYQ2QD5eutDPzHql2EaJrYiIiERq0SIfsWvTZuPZ8T/95Inv1typ\n7JJLoFEjT5R//rlk/VSJp0QCrrwS/vEPOPjgCi73FULYDpgGtAbmAeOBdmY2dZPtlNiKiIhI5GbO\n9HKBGjWiaa9PH0+SOnb05FYql7IS2/JMHmsFTDez2Wa2FhgInBNlgCIiIiKladAguqQWvM529Wq4\n4oro2pR4KE9iuw8wd4N//5R8TERERKTSadkS7rvPb+gguSXSVRHCyRuMCtcHDoiydRGp7Ky7ypVE\nJPt22AG6d892FFJeBQUFFBQUlGvb8tTYHgPcZ2Ztkv/uCtimE8hUYysiIiIi6VbRGtvxQKMQQr0Q\nwg5AO2BolAGKiIiIiFTUn5YimFlxCKETMJKS5b6mpD0yEREREZEtoBs0iIiIiEilUdFSBBERERGR\n2FNiKyIiIiI5QYmtiIiIiOQEJbYiIiIikhOU2IqIiIhITlBiKyIiIiI5QYmtiIiIiOQEJbYiIiIi\nkhOU2IqIiIhITlBiKyIiIiI5QYmtiIiIiOQEJbYiIiIikhOU2IqIiIhITlBiKyIiIiI5QYltRAoK\nCrIdgsSY+oekon4hqahfSCrqF+WjxDYi6nBSFvUPSUX9QlJRv5BU1C/Kp9IntvqgS8TlvYhDHHGI\nIY7i8L7EIQaITxxxEIf3Ig4xQHziiIM4vBdxiAHiE0ccxP29UGKbQ+LyXsQhjjjEEEdxeF/iEAPE\nJ444iMN7EYcYID5xxEEc3os4xADxiSMO4v5eBDOLpqEQomlIRERERKQMZhZSPR5ZYisiIiIikk2V\nvhRBRERERASU2IqIiIhIjlBiW4oQwr4hhDEhhMkhhEkhhJuSj+eFEEaGEL4PIXwQQqiZfLx2cvui\nEEKfTdp6IIQwJ4SwPBv7ItGLqn+EEKqHEIaHEKYk2/mfbO2TVFzEx433QwhfhxD+HUJ4IYRQNRv7\nJBUXZb/YoM2hIYRvM7kfEq2Ijxf/G0KYmjxmFIYQds/GPsWBEtvSrQNuM7NDgGOBG0MITYCuwIdm\ndhAwBrgzuf1q4G6gS4q2hgJHpT9kyaAo+8cjZtYUaAGcEEI4Le3RS7pE2S/+y8xamNmhQC3gorRH\nL+kSZb8ghHAeoIGSyi/SfgFcnDxmtDSzX9Ice2wpsS2FmS0ws4nJn1cAU4B9gXOA/snN+gPnJrdZ\nZWafAmtStPWlmS3MSOCSEVH1DzP73cw+Sv68DihMtiOVUMTHjRUAIYTtgR2AX9O+A5IWUfaLEEIN\n4FbggQyELmkUZb9IUk6H3oRyCSHUB5oDnwN11iepZrYA2DN7kUkcRNU/Qgi1gLOB0dFHKZkWRb8I\nIYwAFgC/m9mI9EQqmRRBv+gBPAr8nqYQJQsi+h55OVmGcHdagqwklNj+iRDCzsAg4ObkGdWm66Np\nvbRtWFT9I4RQBXgNyDezWZEGKRkXVb8wszZAXWDHEMLl0UYpmVbRfhFCOBxoaGZDgZD8I5VcRMeL\n9mZ2GHAicGII4dKIw6w0lNiWITlZYxAwwMzeTT68MIRQJ/n8XsCibMUn2RVx/3ge+N7Mnow+Usmk\nqI8bZvYH8Daq06/UIuoXxwJHhBBmAh8DjUMIY9IVs6RfVMcLM5uf/HslPkjSKj0Rx58S27K9CHxn\nZk9s8NhQ4Irkzx2Adzd9EaWfRevsOrdE0j9CCA8Au5rZrekIUjKuwv0ihFAj+YW2/ovvTGBiWqKV\nTKlwvzCzZ81sXzNrAJyAnwyfkqZ4JTOiOF5UCSHslvx5e+As4N9pibYS0J3HShFCOB4YC0zCLwMY\ncBfwJfAmsB8wG7jQzJYmX/MjsAs+0WMp8J9mNjWE0Atoj19SnAe8YGb3Z3aPJEpR9Q+gCJiLTxr4\nI9nOU2b2Yib3R6IRYb9YAgxPPhaAkcAdpgN2pRTl98kGbdYDhplZswzuikQowuPFnGQ7VYEqwIf4\nagvb5PFCia2IiIiI5ASVIoiIiIhITlBiKyIiIiI5QYmtiIiIiOQEJbYiIiIikhOU2IqIiIhITlBi\nKyIiIiI5QYmtiIiIiOQEJbYiIiIikhP+DxkOhOK3Jaz/AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f69d476cda0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "(m, s) = fit(sk.linear_model.ElasticNetCV(normalize=False, max_iter=1e5,\n",
    "                                          positive=True, alphas=ALPHAS,\n",
    "                                          l1_ratio=RHOS, tol=1e-3,\n",
    "                                          selection='random', n_jobs=-1),\n",
    "             104, ts_all, truth)\n",
    "s.head(23)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Elastic net, not normalized, positive, auto 𝛼, manual 𝜌 = ½\n",
    "\n",
    "* Forecast: good\n",
    "* Articles: bad?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "l1_ratio_                                 5.000000e-01\n",
       "alpha_                                    2.610157e-14\n",
       "intercept_                               -2.700600e+00\n",
       "en+Influenzavirus_B                       3.557183e+05\n",
       "en+Oseltamivir                            1.692912e+05\n",
       "en+Sore_throat                            1.150712e+05\n",
       "en+2007_Bernard_Matthews_H5N1_outbreak    1.097602e+05\n",
       "en+Influenza_treatment                    1.091777e+05\n",
       "en+Human_respiratory_syncytial_virus      1.083595e+05\n",
       "en+Ramsay_Hunt_syndrome_type_II           9.900897e+04\n",
       "en+Mumps_virus                            6.783154e+04\n",
       "en+Airborne_disease                       6.291818e+04\n",
       "en+Wayback_Machine                        6.208303e+04\n",
       "en+Bibcode                                5.414272e+04\n",
       "en+Influenza_A_virus_subtype_H1N2         5.223942e+04\n",
       "en+Adult_T-cell_leukemia/lymphoma         4.891967e+04\n",
       "en+Pleural_empyema                        4.859992e+04\n",
       "en+Influenza_A_virus_subtype_H5N1         4.361077e+04\n",
       "en+Anal_cancer                            3.794375e+04\n",
       "en+Vocal_fold_nodule                      3.769095e+04\n",
       "en+Oncovirus                              3.641839e+04\n",
       "en+Nasal_septum_perforation               3.623230e+04\n",
       "en+Allergic_rhinitis                      3.206033e+04\n",
       "dtype: float64"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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hGM2dnakDEEKIyqzw4DGp2AphImY4ibSvr2+Fj+Hp6Zn7taOjI1JSUip8THMmFVshhDCh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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f69d47640b8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "(m, s) = fit(sk.linear_model.ElasticNetCV(normalize=False, max_iter=1e5,\n",
    "                                          positive=True, alphas=ALPHAS,\n",
    "                                          l1_ratio=0.5, tol=1e-3,\n",
    "                                          selection='random', n_jobs=-1),\n",
    "             104, ts_all, truth)\n",
    "s.head(23)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Elastic net, not normalized, unrestricted, auto 𝛼, auto 𝜌\n",
    "\n",
    "* Forecast: bad (flat)\n",
    "* Articles: bad (none)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "l1_ratio_                                          0.100000\n",
       "alpha_                                           100.000000\n",
       "intercept_                                         1.588952\n",
       "en+Hemopneumothorax                                0.000000\n",
       "en+Centers_for_Disease_Control_and_Prevention     -0.000000\n",
       "en+Peramivir                                       0.000000\n",
       "en+Influenza_A_virus_subtype_H1N1                  0.000000\n",
       "en+Restrictive_lung_disease                        0.000000\n",
       "en+Pathogenesis                                    0.000000\n",
       "en+Pneumonitis                                     0.000000\n",
       "en+Specialty_%28medicine%29                       -0.000000\n",
       "en+Wendell_Meredith_Stanley                        0.000000\n",
       "en+Frank_Macfarlane_Burnet                         0.000000\n",
       "en+Hemagglutinin                                   0.000000\n",
       "en+2009_flu_pandemic                               0.000000\n",
       "en+Pneumomediastinum                               0.000000\n",
       "en+Ghent_University                                0.000000\n",
       "en+Recession                                      -0.000000\n",
       "en+Cytoplasm                                      -0.000000\n",
       "en+Prevalence                                      0.000000\n",
       "en+Chemical_pneumonitis                           -0.000000\n",
       "en+Zoonosis                                        0.000000\n",
       "en+United_Kingdom                                  0.000000\n",
       "dtype: float64"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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l96OZviavf7PM23PN2jliS0RERESuwMSWiIiIiFzBq8RWKRWslJqnlNqllNqhlLrD7MCI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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f69d477f978>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "(m, s) = fit(sk.linear_model.ElasticNetCV(normalize=False, max_iter=2e5,\n",
    "                                          alphas=ALPHAS, l1_ratio=RHOS,\n",
    "                                          selection='random',\n",
    "                                          tol=1e-3, n_jobs=-1),\n",
    "             104, ts_all, truth)\n",
    "s.head(23)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Elastic net, not normalized, unrestricted, auto 𝛼, manual 𝜌 = ½\n",
    "\n",
    "* Forecast: bad\n",
    "* Articles: bad?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "l1_ratio_                                  5.000000e-01\n",
       "alpha_                                     5.108970e-15\n",
       "intercept_                                 1.468754e+00\n",
       "en+Human_respiratory_syncytial_virus       7.135622e+04\n",
       "en+Influenza_A_virus                       6.900837e+04\n",
       "en+Influenzavirus_B                        5.564424e+04\n",
       "en+Influenza                               5.310869e+04\n",
       "en+Diarrhea                               -4.661123e+04\n",
       "en+Oseltamivir                             4.157463e+04\n",
       "en+Pharyngitis                             3.646728e+04\n",
       "en+History_of_Rome                         3.519844e+04\n",
       "en+Herpes_simplex_virus                   -3.477527e+04\n",
       "en+Fever                                   3.305496e+04\n",
       "en+Influenza_A_virus_subtype_H3N2         -3.205144e+04\n",
       "en+Biosafety_level                        -2.980827e+04\n",
       "en+World_Health_Organization               2.882814e+04\n",
       "en+Croup                                   2.788328e+04\n",
       "en+Larynx                                  2.735274e+04\n",
       "en+Upper_respiratory_tract_infection       2.479957e+04\n",
       "en+Medical_Subject_Headings                2.345366e+04\n",
       "en+Guillain%E2%80%93Barr%C3%A9_syndrome   -2.316599e+04\n",
       "en+Cardiovascular_disease                 -2.268976e+04\n",
       "en+Genome                                  2.259935e+04\n",
       "dtype: float64"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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DsWPHDuTm5mLSpEkAgIMHD+LKlSvYvXs3AOVL1Y4YMQKLFi3C5MmTkZeXhzNnzlTf99NP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\nrkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f69d48d7278>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "(m, s) = fit(sk.linear_model.ElasticNetCV(normalize=False, max_iter=1e5,\n",
    "                                          alphas=ALPHAS, l1_ratio=0.5,\n",
    "                                          selection='random',\n",
    "                                          tol=1e-3, n_jobs=-1),\n",
    "             104, ts_all, truth)\n",
    "s.head(23)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.4.3+"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}
